International Journal of Imaging Systems and Technology

Papers
(The median citation count of International Journal of Imaging Systems and Technology is 2. The table below lists those papers that are above that threshold based on CrossRef citation counts [max. 250 papers]. The publications cover those that have been published in the past four years, i.e., from 2020-03-01 to 2024-03-01.)
ArticleCitations
Automatic COVID‐19 CT segmentation using U‐Net integrated spatial and channel attention mechanism88
Classification of Coronavirus (COVID‐19) from X‐ray and CT images using shrunken features75
ME‐Net: Multi‐encoder net framework for brain tumor segmentation74
Brain tumor diagnosis based on metaheuristics and deep learning72
Glaucoma assessment from color fundus images using convolutional neural network54
Future IoT tools for COVID‐19 contact tracing and prediction: A review of the state‐of‐the‐science54
An intelligent fuzzy inference rule‐based expert recommendation system for predictive diabetes diagnosis49
Novel computer‐aided lung cancer detection based on convolutional neural network‐based and feature‐based classifiers using metaheuristics47
Convolutional capsule network for COVID‐19 detection using radiography images41
Automatic skin cancer detection in dermoscopy images by combining convolutional neural networks and texture features40
Breast cancer histopathological image classification using attention high‐order deep network39
Automatic breast cancer detection based on optimized neural network using whale optimization algorithm36
Multimodal brain tumor detection and classification using deep saliency map and improved dragonfly optimization algorithm36
Fusion of convolutional neural networks based on Dempster–Shafer theory for automatic pneumonia detection from chest X‐ray images34
Randomly initialized convolutional neural network for the recognition of COVID‐19 using X‐ray images33
Melanoma segmentation: A framework of improved DenseNet77 and UNET convolutional neural network32
mRMR‐based hybrid convolutional neural network model for classification of Alzheimer's disease on brain magnetic resonance images32
DHS‐CapsNet: Dual horizontal squash capsule networks for lung and colon cancer classification from whole slide histopathological images32
An intelligent IoT with cloud centric medical decision support system for chronic kidney disease prediction32
Implementation of deep neural networks for classifying electroencephalogram signal using fractional S‐transform for epileptic seizure detection31
A comparative analysis of deep neural network architectures for the dynamic diagnosis of COVID‐19 based on acoustic cough features31
Classification with respect to colon adenocarcinoma and colon benign tissue of colon histopathological images with a new CNN model: MA_ColonNET30
Breast cancer histopathology image classification using kernelized weighted extreme learning machine30
COLI‐Net: Deep learning‐assisted fully automated COVID‐19 lung and infection pneumonia lesion detection and segmentation from chest computed tomography images27
Recognition of ischaemia and infection in diabetic foot ulcer: A deep convolutional neural network based approach26
Early detection of melanoma images using gray level co‐occurrence matrix features and machine learning techniques for effective clinical diagnosis26
A novel approach in multimodality medical image fusion using optimal shearlet and deep learning25
En‐ConvNet: A novel approach for glaucoma detection from color fundus images using ensemble of deep convolutional neural networks25
A novel and efficient deep learning approach for COVID‐19 detection using X‐ray imaging modality25
Three‐class classification of brain magnetic resonance images using average‐pooling convolutional neural network25
A novel multimodality anatomical image fusion method based on contrast and structure extraction24
RETRACTED: Optimal brain tumor diagnosis based on deep learning and balanced sparrow search algorithm24
Detection and diagnosis of brain tumors using deep learning convolutional neural networks23
Detecting brain tumors using deep learning convolutional neural network with transfer learning approach23
Modified transform‐based gamma correction for MRI tumor image denoising and segmentation by optimized histon‐based elephant herding algorithm22
An end‐to‐end brain tumor segmentation system using multi‐inception‐UNET22
Deeply supervised U‐Net for mass segmentation in digital mammograms21
Illumination normalized based technique for retinal blood vessel segmentation21
Transfer learning‐based platform for detecting multi‐classification retinal disorders using optical coherence tomography images20
A novel machine learning‐based analytical framework for automatic detection of COVID‐19 using chest X‐ray images20
High‐quality retinal vessel segmentation using generative adversarial network with a large receptive field20
Detection and classification of breast cancer from digital mammograms using hybrid extreme learning machine classifier20
Automatic diagnosis of diabetic retinopathy with the aid of adaptive average filtering with optimized deep convolutional neural network19
A deep learning model for mass screening of COVID‐1919
An accurate and noninvasive skin cancer screening based on imaging technique18
Improving medical image fusion method using fuzzy entropy and nonsubsampling contourlet transform18
An integrated feature frame work for automated segmentation of COVID‐19 infection from lung CT images18
Superpixel with nanoscale imaging and boosted deep convolutional neural network concept for lung tumor classification18
Nonparametric variational learning of multivariate beta mixture models in medical applications18
A lightweight capsule network architecture for detection of COVID‐19 from lung CT scans18
Deep transfer learning based hepatitis B virus diagnosis using spectroscopic images17
A novel improved crow‐search algorithm to classify the severity in digital mammograms17
Image denoising for magnetic resonance imaging medical images using improved generalized cross‐validation based on the diffusivity function17
Transfer learning networks with skip connections for classification of brain tumors17
Intuitionistic fuzzy approach for enhancement of low contrast mammogram images16
Automatic classification of severity of COVID‐19 patients using texture feature and random forest based on computed tomography images16
A new medical image enhancement algorithm using adaptive parameters16
Development of automatic glioma brain tumor detection system using deep convolutional neural networks16
Detection and classification of electroencephalogram signals for epilepsy disease using machine learning methods15
Deep learning based Alzheimer's disease early diagnosis using T2w segmented gray matter MRI15
A novel two‐band equilateral wavelet filter bank method for an automated detection of seizure from EEG signals15
Diabetic retinopathy severity grading employing quadrant‐based Inception‐V3 convolution neural network architecture15
Classification of breast cancer histopathological image with deep residual learning15
Classification of the four‐class motor imagery signals using continuous wavelet transform filter bank‐based two‐dimensional images15
Multiple sclerosis identification in brainMRIimages using wavelet convolutional neural networks15
Mask RCNN algorithm for nuclei detection on breast cancer histopathological images15
The effect of deep feature concatenation in the classification problem: An approach on COVID‐19 disease detection15
A deep learning approach for classification of COVID and pneumonia using DenseNet‐20115
Comparison of the impacts of dermoscopy image augmentation methods on skin cancer classification and a new augmentation method with wavelet packets14
Nonlocal convolutional block attention module VNet for gliomas automatic segmentation14
Emotion identification by dynamic entropy and ensemble learning from electroencephalogram signals14
Automatic detection of eardrum otoendoscopic images in patients with otitis media using hybrid‐based deep models14
Lung cancer detection by using probabilistic majority voting and optimization techniques14
A novel software framework for magnetic particle imaging reconstruction14
Skin lesion segmentation based on mask RCNN, Multi Atrous Full‐CNN, and a geodesic method14
Morphological feature extraction and KNG‐CNN classification of CT images for early lung cancer detection13
An efficient and high quality medical CT image enhancement algorithm13
Automatic detection and localization of COVID‐19 pneumonia using axial computed tomography images and deep convolutional neural networks13
Detection of pneumonia in chest X‐ray images by using 2D discrete wavelet feature extraction with random forest13
Optimal weighted hybrid pattern for content based medical image retrieval using modified spider monkey optimization12
Fitness adaptive deer hunting‐based region growing and recurrent neural network for melanoma skin cancer detection12
Brain tumour classification using siamese neural network and neighbourhood analysis in embedded feature space12
Deep learning on compressed sensing measurements in pneumonia detection12
An automated and fast system to identify COVID‐19 from X‐ray radiograph of the chest using image processing and machine learning12
A deep learning framework for glaucoma detection based on robust optic disc segmentation and transfer learning12
A novel discriminant feature selection–based mutual information extraction from MR brain images for Alzheimer's stages detection and prediction12
Mammographic mass segmentation using multichannel and multiscale fully convolutional networks12
Optimized segmentation and classification for liver tumor segmentation and classification using opposition‐based spotted hyena optimization12
ECG steganography based on tunable Q‐factor wavelet transform and singular value decomposition12
An improved framework for polyp image segmentation based on SegNet architecture12
NCA‐based hybrid convolutional neural network model for classification of cervical cancer on gauss‐enhanced pap‐smear images12
Analysis of brain‐facial muscle connection in the static fractal visual stimulation12
Mobile‐aided screening system for proliferative diabetic retinopathy11
SLICACO: An automated novel hybrid approach for dermatoscopic melanocytic skin lesion segmentation11
A fast and high frame rate adaptive beamforming using DCT‐based RF‐line recovery in line‐by‐line ultrasound imaging11
Breast cancer diagnosis from mammographic images using optimized feature selection and neural network architecture11
Medical image denoising using optimal thresholding of wavelet coefficients with selection of the best decomposition level and mother wavelet11
A novel hybrid artificial neural network technique for the early skin cancer diagnosis using color space conversions of original images10
A novel receptive field‐regularized V‐net and nodule classification network for lung nodule detection10
Feature‐versus deep learning‐based approaches for the automated detection of brain tumor with magnetic resonance images: A comparative study10
Automatic segmentation of nuclei from pap smear cell images: A step toward cervical cancer screening10
Deep‐features with Bayesian optimized classifiers for the breast cancer diagnosis10
A novel automated depression detection technique using text transcript10
Severity detection and infection level identification of tuberculosis using deep learning10
Ten simple rules for reporting machine learning methods implementation and evaluation on biomedical data10
Impulse noise reduction using hybrid neuro‐fuzzy filter with improved firefly algorithm from X‐ray bio‐images10
Approaches to preclinical studies with heterogeneous breast phantom using reconstruction and three‐dimensional image processing algorithms for diffuse optical imaging9
Performance analysis of classification and segmentation of cysts in panoramic dental images using convolutional neural network architecture9
Image processing and machine learning‐based bone fracture detection and classification using X‐ray images9
Pulmonary disease diagnosis using African vulture optimized weighted support vector machine approach9
COVID‐19 vs influenza viruses: A cockroach optimized deep neural network classification approach9
Patch‐based local deep feature extraction for automated skin cancer classification9
Optimized hybrid classifier for diagnosing diabetic retinopathy: Iterative blood vessel segmentation process9
Magnetic resonance imaging reconstruction via non‐convex total variation regularization9
Content‐based gastric image retrieval using convolutional neural networks9
Multimodal medical image fusion based on the spectral total variation and local structural patch measurement9
Intelligent detection and applied research on diabetic retinopathy based on the residual attention network9
Automated diagnosis system for age‐related macular degeneration using hybrid features set from fundus images9
Cataract grading method based on deep convolutional neural networks and stacking ensemble learning9
Electroencephalography based imagined alphabets classification using spatial and time‐domain features9
Hybrid features and optimization‐driven recurrent neural network for glaucoma detection9
A study to identify limitations of existing automated systems to detect glaucoma at initial and curable stage8
A hybrid feature fusion strategy for early fusion and majority voting for late fusion towards melanocytic skin lesion detection8
Aggregated residual transformation network for multistage classification in diabetic retinopathy8
SkinNet‐ENDO: Multiclass skin lesion recognition using deep neural network and Entropy‐Normal distribution optimization algorithm with ELM8
A machine learning classification approach based glioma brain tumor detection8
A comprehensive review on automated systems for severity grading of diabetic retinopathy and macular edema8
Utilizing the spatial frequency domain imaging to investigate change in optical parameters of skin exposed to thermal‐hydrotherapy: Ex‐vivo study8
Retinal image enhancement using adaptive histogram equalization tuned with nonsimilar grouping curvelet8
Learning domain transfer for unsupervised magnetic resonance imaging restoration and edge enhancement8
COVSeg‐NET: A deep convolution neural network for COVID‐19 lung CT image segmentation8
LiteCovidNet: A lightweight deep neural network model for detection of COVID‐19 using X‐ray images8
Multimodal covid network: Multimodal bespoke convolutional neural network architectures for COVID‐19 detection from chest X‐ray's and computerized tomography scans8
Cancer detection using convolutional neural network optimized by multistrategy artificial electric field algorithm8
Fuzzy clustering‐based image segmentation techniques used to segment magnetic resonance imaging/computed tomography scan brain tissues: Comparative analysis8
Triple novelty block detection and classification approach for lung tumor analysis8
An ensemble model of convolution and recurrent neural network for skin disease classification8
Random forest and rotation forest ensemble methods for classification of epileptic EEG signals based on improved 1D‐LBP feature extraction7
Differentiation of tumoral and non‐tumoral breast lesions using back reflection diffuse optical tomography: A pilot clinical study7
Particle swarm optimization‐based liver disorder ultrasound image classification using multi‐level and multi‐domain features7
Detection and diagnosis of COVID‐19 infection in lungs images using deep learning techniques7
Classification of brain hemorrhage computed tomography images using OzNet hybrid algorithm7
A fuzzy logic‐based meningioma tumor detection in magnetic resonance brain images using CANFIS and U‐Net CNN classification7
Automated screening of glaucoma stages from retinal fundus images using BPS and LBP based GLCM features7
Segmentation of tumor using PCA based modified fuzzy C means algorithms on MR brain images7
3D conditional generative adversarial network‐based synthetic medical image augmentation for lung nodule detection7
Curvelet and fast marching method‐based technique for efficient artifact detection and removal in dermoscopic images7
A novel threshold score based multiclass segmentation technique for brain magnetic resonance images using adaptive opposition slime mold algorithm7
Optimal deep belief network with opposition‐based hybrid grasshopper and honeybee optimization algorithm for lung cancer classification: A DBNGHHB approach7
A deep learning model integrating convolution neural network and multiple kernel K means clustering for segmenting brain tumor in magnetic resonance images7
Improved pulmonary lung nodules risk stratification in computed tomography images by fusing shape and texture features in a machine‐learning paradigm7
Detection of lung tumor using dual tree complex wavelet transform and co‐active adaptive neuro fuzzy inference system classification approach7
Machine learning‐based tri‐stage classification of Alzheimer's progressive neurodegenerative disease using PCA and mRMR administered textural, orientational, and spatial features7
A modified DeepLabV3+ based semantic segmentation of chest computed tomography images for COVID‐19 lung infections7
Automatic segmentation system for liver tumors based on the multilevel thresholding and electromagnetism optimization algorithm7
Retinal vessel segmentation based on an improved deep forest7
AlexNet‐NDTL: Classification of MRI brain tumor images using modified AlexNet with deep transfer learning and Lipschitz‐based data augmentation7
COVID‐opt‐aiNet: A clinical decision support system for COVID‐19 detection7
Interpretable ensemble deep learning model for early detection of Alzheimer's disease using local interpretable model‐agnostic explanations6
A novel convolutional neural network‐based approach for brain tumor classification using magnetic resonance images6
Multimodal magnetic resonance imaging for Alzheimer's disease diagnosis using hybrid features extraction and ensemble support vector machines6
TWEEC: Computer‐aided glaucoma diagnosis from retinal images using deep learning techniques6
Adaptive image denoising for speckle noise images based on fuzzy logic6
Rapid head‐pose detection for automated slice prescription of fetal‐brain MRI6
Brain tumor segmentation and classification via adaptive CLFAHE with hybrid classification6
Dementia MRI image classification using transformation technique based on elephant herding optimization with Randomized Adam method for updating the hyper‐parameters6
Detection and diagnosis of brain tumors‐framework using extreme machine learning and CANFIS classification algorithms6
Performance evaluation of 67 denoising filters in ultrasound images: A systematic comparison analysis6
Identifying brain regions contributing to Alzheimer's disease using self regulating particle swarm optimization6
Sparse structure deep network embedding for transforming brain functional network in early mild cognitive impairment classification6
Multi‐level dilated convolutional neural network for brain tumour segmentation and multi‐view‐based radiomics for overall survival prediction6
Deep learning‐based automated mitosis detection in histopathology images for breast cancer grading6
A CNN transfer learning‐based approach for segmentation and classification of brain stroke from noncontrast CT images6
Lung segmentation on chest X‐ray images in patients with severe abnormal findings using deep learning6
Classification of brain tumor from magnetic resonance images using probabilistic features and possibilistic Hanman–Shannon transform classifier6
Liver tumor segmentation from computed tomography images using multiscale residual dilated encoder‐decoder network6
Automatic detection of keratoconus on Pentacam images using feature selection based on deep learning6
Neuromuscular disease detection based on feature extraction from time–frequency images of EMG signals employing robust hyperbolic Stockwell transform6
The influence of the activation function in a capsule network for brain tumor type classification5
Medical image contrast enhancement based on improved sparrow search algorithm5
SegCaps: An efficient SegCaps network‐based skin lesion segmentation in dermoscopic images5
Modeling an effectual multi‐section You Only Look Once for enhancing lung cancer prediction5
Image analysis by fast improved radial harmonic‐Fourier moments algorithm5
Lung CT image enhancement based on total variational frame and wavelet transform5
Brain tumor detection and patient survival prediction using U‐Net and regression model5
Denoising of computed tomography using bilateral median based autoencoder network5
Modified U‐Net for cytological medical image segmentation5
A novel EEG channel selection and classification methodology for multi‐class motor imagery‐based BCI system design5
Skin lesion segmentation using an improved framework of encoder‐decoder based convolutional neural network5
Bone microarchitecture characterization based on fractal analysis in spatial frequency domain imaging5
Automated brain tumor detection and classification using weighted fuzzy clustering algorithm, deep auto encoder with barnacle mating algorithm and random forest classifier techniques5
An automatic gastric polyp detection technique using deep learning5
A novel intuitionistic fuzzy soft set based colonogram enhancement for polyps localization5
Real‐time automated segmentation of breast lesions using CNN‐based deep learning paradigm: Investigation on mammogram and ultrasound5
Fusing dual‐tree quaternion wavelet transform and local mesh based features for grading of diabetic retinopathy using extreme learning machine classifier5
A novel scheme for image sharpness using inflection points5
Genetic‐based adaptive momentum estimation for predicting mortality risk factors for COVID‐19 patients using deep learning5
A hybrid convolutional neural network model to detect COVID‐19 and pneumonia using chest X‐ray images5
Automatic diagnosis of ureteral stone and degree of hydronephrosis with proposed convolutional neural network, RelieF, and gradient‐weighted class activation mapping based deep hybrid model5
Taylor series‐based deep belief network for automatic classification of diabetic retinopathy using retinal fundus images5
Automatic detection and segmentation of lung nodules in different locations from CT images based on adaptive α‐hull algorithm and DenseNet convolutional network5
Deep chest X‐ray: Detection and classification of lesions based on deep convolutional neural networks5
Early detection of breast malignancy using wavelet features and optimized classifier5
MR‐UNet: An UNet model using multi‐scale and residual convolutions for retinal vessel segmentation5
GAN‐segNet: A deep generative adversarial segmentation network for brain tumor semantic segmentation5
Automatic semantic segmentation for dental restorations in panoramic radiography images using U‐Net model4
An edge guided cascaded U‐net approach for accelerated magnetic resonance imaging reconstruction4
SKMAT‐U‐Net architecture for breast mass segmentation4
DeepChestNet: Artificial intelligence approach for COVID‐19 detection on computed tomography images4
A deep data‐driven approach for enhanced segmentation of blood vessel for diabetic retinopathy4
The COVID‐19 pandemic: What can bioengineers, computer scientists and big data specialists bring to the table4
Early cervical cancer diagnosis using Sooty tern‐optimized CNN‐LSTM classifier4
FFCAEs: An efficient feature fusion framework using cascaded autoencoders for the identification of gliomas4
Image reconstruction for diffuse optical tomography using bi‐conjugate gradient and transpose‐free quasi minimal residual algorithms and comparison of them4
Modified Global Flower Pollination Algorithm‐based image fusion for medical diagnosis using computed tomography and magnetic resonance imaging4
A deep learning approach for multi‐stage classification of brain tumor through magnetic resonance images4
Detection and classification of large bowel obstruction from X‐ray images using machine learning algorithms4
Multistage multimodal medical image fusion model using feature‐adaptive pulse coupled neural network4
Nonparametric learning approach based on infinite flexible mixture model and its application to medical data analysis4
Research on data classification and feature fusion method of cancer nuclei image based on deep learning4
Anatomical‐functional image fusion based on deep convolution neural networks in local Laplacian pyramid domain4
Thermal imaging method to evaluate childhood obesity based on machine learning techniques4
Medical image fusion using Transfer Learning and L‐BFGS optimization algorithm4
Malignancy detection on mammograms by integrating modified convolutional neural network classifier and texture features4
A novel DeepML framework for multi‐classification of breast cancer based on transfer learning4
Uncertainty‐guided self‐ensembling model for semi‐supervised segmentation of multiclass retinal fluid in optical coherence tomography images4
A semantic contour based segmentation of lungs from chest x‐rays for the classification of tuberculosis using Naïve Bayes classifier4
An improved invasive weed optimization enabled Shepard convolutional neural network for classification of breast cancer4
Ensemble the recent architectures of deep convolutional networks for skin diseases diagnosis4
Multimodal medical image fusion using L0 gradient smoothing with sparse representation4
A transformer‐based deep neural network for detection and classification of lung cancer via PET/CT images4
Characterization of regional differences in cerebral vascular response to breath holding usingBOLD fMRI4
Mining frequent approximate patterns in large networks4
Hybrid method combining superpixel, supervised learning, and random walk for glioma segmentation4
Att2ResNet: A deep attention‐based approach for melanoma skin cancer classification4
Automated differentiation of skin melanocytes from keratinocytes in high‐resolution histopathology images using a weakly‐supervised deep‐learning framework4
Total variation‐based ultrasound image despeckling using method noise thresholding in non‐subsampled contourlet transform4
Thermography based breast cancer detection using self‐adaptive gray level histogram equalization color enhancement method4
Automatic cervical cancer segmentation in multimodal magnetic resonance imaging using an EfficientNet encoder in UNet++ architecture4
Longitudinal evaluation for COVID‐19 chest CT disease progression based on Tchebichef moments4
Performance analysis of classifiers for colon cancer detection from dimensionality reduced microarray gene data4
Improved segmentation of overlapping red blood cells on malaria blood smear images with TransUNet architecture4
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Effect of interpolation on specular reflections in texture‐based automatic colonic polyp detection4
Improvement of thin retinal vessel extraction using mean matting method4
Nonsubsampled contourlet transform with cross‐guided bilateral filter for despeckling of medical ultrasound images4
Multiatlas‐based segmentation of female pelvic organs: Application for computer‐aided diagnosis of cervical cancer4
An efficient lymphocytic leukemia detection based on EfficientNets and ensemble voting classifier4
A vessel segmentation technique for retinal images4
CSDL‐Net: An iterative network based on compressed sensing and deep learning3
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