International Journal of Imaging Systems and Technology

Papers
(The TQCC of International Journal of Imaging Systems and Technology is 5. 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 2020-11-01 to 2024-11-01.)
ArticleCitations
Automatic COVID‐19 CT segmentation using U‐Net integrated spatial and channel attention mechanism104
ME‐Net: Multi‐encoder net framework for brain tumor segmentation86
RETRACTED: Novel computer‐aided lung cancer detection based on convolutional neural network‐based and feature‐based classifiers using metaheuristics60
Future IoT tools for COVID‐19 contact tracing and prediction: A review of the state‐of‐the‐science58
Multimodal brain tumor detection and classification using deep saliency map and improved dragonfly optimization algorithm58
An intelligent fuzzy inference rule‐based expert recommendation system for predictive diabetes diagnosis57
Breast cancer histopathological image classification using attention high‐order deep network49
Convolutional capsule network for COVID‐19 detection using radiography images48
mRMR‐based hybrid convolutional neural network model for classification of Alzheimer's disease on brain magnetic resonance images41
Fusion of convolutional neural networks based on Dempster–Shafer theory for automatic pneumonia detection from chest X‐ray images41
Melanoma segmentation: A framework of improved DenseNet77 and UNET convolutional neural network40
Randomly initialized convolutional neural network for the recognition of COVID‐19 using X‐ray images37
En‐ConvNet: A novel approach for glaucoma detection from color fundus images using ensemble of deep convolutional neural networks36
DHS‐CapsNet: Dual horizontal squash capsule networks for lung and colon cancer classification from whole slide histopathological images36
Classification with respect to colon adenocarcinoma and colon benign tissue of colon histopathological images with a new CNN model: MA_ColonNET36
A comparative analysis of deep neural network architectures for the dynamic diagnosis of COVID‐19 based on acoustic cough features35
Detection and diagnosis of brain tumors using deep learning convolutional neural networks34
RETRACTED: Implementation of deep neural networks for classifying electroencephalogram signal using fractional S‐transform for epileptic seizure detection34
Deeply supervisedU‐Netfor mass segmentation in digital mammograms31
COLI‐Net: Deep learning‐assisted fully automated COVID‐19 lung and infection pneumonia lesion detection and segmentation from chest computed tomography images30
Three‐class classification of brain magnetic resonance images using average‐pooling convolutional neural network30
A deep learning approach for classification of COVID and pneumonia using DenseNet‐20130
Recognition of ischaemia and infection in diabetic foot ulcer: A deep convolutional neural network based approach29
A novel and efficient deep learning approach for COVID‐19 detection using X‐ray imaging modality28
Detecting brain tumors using deep learning convolutional neural network with transfer learning approach28
Comparison of the impacts of dermoscopy image augmentation methods on skin cancer classification and a new augmentation method with wavelet packets28
A novelmultimodalityanatomical image fusion method based on contrast and structure extraction27
Transfer learning‐based platform for detecting multi‐classification retinal disorders using optical coherence tomography images27
An accurate and noninvasive skin cancer screening based on imaging technique27
An end‐to‐end brain tumor segmentation system using multi‐inception‐UNET26
RETRACTED: Optimal brain tumor diagnosis based on deep learning and balanced sparrow search algorithm25
Classification of breast cancer histopathological image with deep residual learning23
A new medical image enhancement algorithm using adaptive parameters23
A novel software framework for magnetic particle imaging reconstruction22
Image processing and machine learning‐based bone fracture detection and classification using X‐ray images21
A novel hybrid artificial neural network technique for the early skin cancer diagnosis using color space conversions of original images21
A deep learning model for mass screening of COVID‐1921
Image denoising for magnetic resonance imaging medical images using improved generalized cross‐validation based on the diffusivity function21
Nonlocal convolutional block attention module VNet for gliomas automatic segmentation21
A lightweight capsule network architecture for detection of COVID‐19 from lung CT scans20
AlexNet‐NDTL: Classification of MRI brain tumor images using modified AlexNet with deep transfer learning and Lipschitz‐based data augmentation20
A novel machine learning‐based analytical framework for automatic detection of COVID‐19 using chest X‐ray images20
Classification of the four‐class motor imagery signals using continuous wavelet transform filter bank‐based two‐dimensional images19
Automatic classification of severity of COVID‐19 patients using texture feature and random forest based on computed tomography images19
An integrated feature frame work for automated segmentation of COVID‐19 infection from lung CT images19
Emotion identification by dynamic entropy and ensemble learning from electroencephalogram signals19
Deep learning approach for brain tumor classification using metaheuristic optimization with gene expression data18
Mask RCNN algorithm for nuclei detection on breast cancer histopathological images18
Transfer learning networks with skip connections for classification of brain tumors18
Optimized segmentation and classification for liver tumor segmentation and classification using opposition‐based spotted hyena optimization18
Deep learning based Alzheimer's disease early diagnosis using T2w segmented gray matter MRI17
Lung cancer detection by using probabilistic majority voting and optimization techniques17
Skin lesion segmentation based on mask RCNN, Multi Atrous Full‐CNN, and a geodesic method17
Optimal deep belief network with opposition‐based hybrid grasshopper and honeybee optimization algorithm for lung cancer classification: A DBNGHHB approach17
SkinNet‐ENDO: Multiclass skin lesion recognition using deep neural network and Entropy‐Normal distribution optimization algorithm with ELM16
Brain tumour classification using siamese neural network and neighbourhood analysis in embedded feature space16
SLICACO: An automated novel hybrid approach for dermatoscopic melanocytic skin lesion segmentation16
Automatic detection and localization of COVID‐19 pneumonia using axial computed tomography images and deep convolutional neural networks15
The effect of deep feature concatenation in the classification problem: An approach on COVID‐19 disease detection15
NCA‐based hybrid convolutional neural network model for classification of cervical cancer on gauss‐enhanced pap‐smear images15
A novel receptive field‐regularized V‐net and nodule classification network for lung nodule detection14
Automated screening of glaucoma stages from retinal fundus images using BPS and LBP based GLCM features14
A modified DeepLabV3+ based semantic segmentation of chest computed tomography images for COVID‐19 lung infections14
An automated and fast system to identify COVID‐19 from X‐ray radiograph of the chest using image processing and machine learning14
LiteCovidNet: A lightweight deep neural network model for detection of COVID‐19 using X‐ray images14
Medical image denoising using optimal thresholding of wavelet coefficients with selection of the best decomposition level and mother wavelet14
Automatic detection of eardrum otoendoscopic images in patients with otitis media using hybrid‐based deep models14
A novel discriminant feature selection–based mutual information extraction from MR brain images for Alzheimer's stages detection and prediction14
An improved framework for polyp image segmentation based on SegNet architecture13
A comprehensive review on automated systems for severity grading of diabetic retinopathy and macular edema13
Classification of brain hemorrhage computed tomography images using OzNet hybrid algorithm13
Feature‐versus deep learning‐based approaches for the automated detection of brain tumor with magnetic resonance images: A comparative study13
A deep learning framework for glaucoma detection based on robust optic disc segmentation and transfer learning13
Hybrid‐NET: A fusion of DenseNet169 and advanced machine learning classifiers for enhanced brain tumor diagnosis13
A novel automated depression detection technique using text transcript12
Mobile‐aided screening system for proliferative diabetic retinopathy12
Patch‐based local deep feature extraction for automated skin cancer classification12
Electroencephalography based imagined alphabets classification using spatial and time‐domain features12
Deep learning on compressed sensing measurements in pneumonia detection12
Performance analysis of classification and segmentation of cysts in panoramic dental images using convolutional neural network architecture12
Cataract grading method based on deep convolutional neural networks and stacking ensemble learning12
Deep‐features with Bayesian optimized classifiers for the breast cancer diagnosis12
Multimodal magnetic resonance imaging for Alzheimer's disease diagnosis using hybrid features extraction and ensemble support vector machines11
An automatic channel selection method based on the standard deviation of wavelet coefficients for motor imagery based brain–computer interfacing11
Intelligent detection and applied research on diabetic retinopathy based on the residual attention network11
Utilizing the spatial frequency domain imaging to investigate change in optical parameters of skin exposed to thermal‐hydrotherapy: Ex‐vivo study11
An ensemble model of convolution and recurrent neural network for skin disease classification11
Ten simple rules for reporting machine learning methods implementation and evaluation on biomedical data10
Lung CT image enhancement based on total variational frame and wavelet transform10
A machine learning classification approach based glioma brain tumor detection10
A hybrid convolutional neural network model to detect COVID‐19 and pneumonia using chest X‐ray images10
A CNN transfer learning‐based approach for segmentation and classification of brain stroke from noncontrast CT images10
An automatic gastric polyp detection technique using deep learning10
A deep learning approach for multi‐stage classification of brain tumor through magnetic resonance images10
Deep learning‐based automated mitosis detection in histopathology images for breast cancer grading10
Pulmonary disease diagnosis using African vulture optimized weighted support vector machine approach10
COVID‐19 vs influenza viruses: A cockroach optimized deep neural network classification approach10
Liver tumor segmentation from computed tomography images using multiscale residual dilated encoder‐decoder network10
A hybrid feature fusion strategy for early fusion and majority voting for late fusion towards melanocytic skin lesion detection10
A novel EEG channel selection and classification methodology for multi‐class motor imagery‐based BCI system design9
Approaches to preclinical studies with heterogeneous breast phantom using reconstruction and three‐dimensional image processing algorithms for diffuse optical imaging9
Denoising of computed tomography using bilateral median based autoencoder network9
GAN‐segNet: A deep generative adversarial segmentation network for brain tumor semantic segmentation9
Medical image contrast enhancement based on improved sparrow search algorithm9
COVID‐opt‐aiNet: A clinical decision support system for COVID‐19 detection9
MultiFeNet: Multi‐scale feature scaling in deep neural network for the brain tumour classification in MRI images9
An enhanced framework for identifying brain tumor using discrete wavelet transform, deep convolutional network, and feature fusion‐based machine learning techniques9
Rapid head‐pose detection for automated slice prescription of fetal‐brain MRI9
Multimodal covid network: Multimodal bespoke convolutional neural network architectures for COVID‐19 detection from chest X‐ray's and computerized tomography scans8
Skin lesion segmentation using an improved framework of encoder‐decoder based convolutional neural network8
Cancer detection using convolutional neural network optimized by multistrategy artificial electric field algorithm8
CR‐SSL: A closely related self‐supervised learning based approach for improving breast ultrasound tumor segmentation8
Automatic detection and segmentation of lung nodules in different locations from CT images based on adaptive α‐hull algorithm and DenseNet convolutional network8
Differentiation of tumoral and non‐tumoral breast lesions using back reflection diffuse optical tomography: A pilot clinical study8
Automatic detection of keratoconus on Pentacam images using feature selection based on deep learning8
Detection and diagnosis ofCOVID‐19 infection in lungs images using deep learning techniques8
Particle swarm optimization‐based liver disorder ultrasound image classification using multi‐level and multi‐domain features8
A novel threshold score based multiclass segmentation technique for brain magnetic resonance images using adaptive opposition slime mold algorithm8
A novel convolutional neural network‐based approach for brain tumor classification using magnetic resonance images8
Performance evaluation of 67 denoising filters in ultrasound images: A systematic comparison analysis8
Improved pulmonary lung nodules risk stratification in computed tomography images by fusing shape and texture features in a machine‐learning paradigm8
A study to identify limitations of existing automated systems to detect glaucoma at initial and curable stage8
The influence of the activation function in a capsule network for brain tumor type classification8
Interpretable ensemble deep learning model for early detection of Alzheimer's disease using local interpretable model‐agnostic explanations8
Learning domain transfer for unsupervised magnetic resonance imaging restoration and edge enhancement8
Total variation‐based ultrasound image despeckling using method noise thresholding in non‐subsampled contourlet transform8
COVSeg‐NET: A deep convolution neural network for COVID‐19 lung CT image segmentation8
Multi‐level dilated convolutional neural network for brain tumour segmentation and multi‐view‐based radiomics for overall survival prediction8
Genetic‐based adaptive momentum estimation for predicting mortality risk factors for COVID‐19 patients using deep learning7
Automated diagnosis of COVID stages using texture‐based Gabor features in variational mode decomposition from CT images7
Retinal vessel segmentation based on an improved deep forest7
Thermal imaging method to evaluate childhood obesity based on machine learning techniques7
Detection of lung tumor using dual tree complex wavelet transform and co‐active adaptive neuro fuzzy inference system classification approach7
Brain tumor detection and patient survival prediction using U‐Net and regression model7
Modified U‐Net for cytological medical image segmentation7
Research on data classification and feature fusion method of cancer nuclei image based on deep learning7
Classification of skin lesions with generative adversarial networks and improved MobileNetV27
Federated learning‐based colorectal cancer classification by convolutional neural networks and general visual representation learning7
Breast cancer: A hybrid method for feature selection and classification in digital mammography7
A transformer‐based deep neural network for detection and classification of lung cancer via PET/CT images7
Structural biomarker‐based Alzheimer's disease detection via ensemble learning techniques7
Curvelet and fast marching method‐based technique for efficient artifact detection and removal in dermoscopic images7
Lung segmentation on chest X‐ray images in patients with severe abnormal findings using deep learning7
TWEEC: Computer‐aided glaucoma diagnosis from retinal images using deep learning techniques7
Machine learning‐based tri‐stage classification of Alzheimer's progressive neurodegenerative disease usingPCAandmRMRadministered textural, orientational, and spatial features7
MozzieNet: A deep learning approach to efficiently detect malaria parasites in blood smear images6
MMTFN: Multi‐modal multi‐scale transformer fusion network for Alzheimer's disease diagnosis6
Performance analysis ofstate‐of‐the‐art CNNarchitectures for brain tumour detection6
FFCAEs: An efficient feature fusion framework using cascaded autoencoders for the identification of gliomas6
Sparse structure deep network embedding for transforming brain functional network in early mild cognitive impairment classification6
EANet: Multiscale autoencoder based edge attention network for fluid segmentation from SD‐OCT images6
Categorization of breast masses based on deep belief network parameters optimized using chaotic krill herd optimization algorithm for frequent diagnosis of breast abnormalities6
Automatic semantic segmentation for dental restorations in panoramic radiography images using U‐Net model6
Att2ResNet: A deep attention‐based approach for melanoma skin cancer classification6
DeepChestNet: Artificial intelligence approach for COVID‐19 detection on computed tomography images6
CerviFormer: A pap smear‐based cervical cancer classification method using cross‐attention and latent transformer6
Real‐time automated segmentation of breast lesions using CNN‐based deep learning paradigm: Investigation on mammogram and ultrasound6
MR‐UNet: An UNet model using multi‐scale and residual convolutions for retinal vessel segmentation6
Neuromuscular disease detection based on feature extraction from time–frequency images of EMG signals employing robust hyperbolic Stockwell transform6
DementiaMRIimage classification using transformation technique based on elephant herding optimization with Randomized Adam method for updating the hyper‐parameters6
SAtUNet: Series atrous convolution enhanced U‐Net for lung nodule segmentation6
Modeling an effectual multi‐section You Only Look Once for enhancing lung cancer prediction6
Classification of brain tumor from magnetic resonance images using probabilistic features and possibilistic Hanman–Shannon transform classifier6
A novel intuitionistic fuzzy soft set based colonogram enhancement for polyps localization6
Fusing dual‐tree quaternion wavelet transform and local mesh based features for grading of diabetic retinopathy using extreme learning machine classifier6
A deep learning‐basedx‐rayimaging diagnosis system for classification of tuberculosis,COVID‐19, and pneumonia traits using evolutionary algorithm6
Brain tumor segmentation using a deep Shuffled‐YOLO network6
Factorization‐based active contour segmentation and pelican optimization‐based modified bidirectional long short‐term memory for ovarian tumor detection5
Brain tumor classification by using a novel convolutional neural network structure5
Ensemble the recent architectures of deep convolutional networks for skin diseases diagnosis5
Uncertainty‐guided self‐ensembling model for semi‐supervised segmentation of multiclass retinal fluid in optical coherence tomography images5
An effective human monkeypox classification using vision transformer5
BUS‐CAD: A computer‐aided diagnosis system for breast tumor classification in ultrasound images using grid‐search‐optimized machine learning algorithms with extended and Boruta‐selected fea5
DCELANM‐Net: Medical image segmentation based on dual channel efficient layer aggregation network with learner5
Multistage multimodal medical image fusion model using feature‐adaptive pulse coupled neural network5
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
A novel DeepML framework for multi‐classification of breast cancer based on transfer learning5
An effective deep learning model for grading abnormalities in retinal fundus images using variational auto‐encoders5
Image reconstruction for diffuse optical tomography using bi‐conjugate gradient and transpose‐free quasi minimal residual algorithms and comparison of them5
An improved invasive weed optimization enabled Shepard convolutional neural network for classification of breast cancer5
Detection and classification of large bowel obstruction from X‐ray images using machine learning algorithms5
Early detection of breast malignancy using wavelet features and optimized classifier5
An approach for cancer classification using optimization driven deep learning5
Multimodal medical image fusion using L0 gradient smoothing with sparse representation5
SKMAT‐U‐Net architecture for breast mass segmentation5
SegCaps: An efficient SegCaps network‐based skin lesion segmentation in dermoscopic images5
Automated brain tumor detection and classification using weighted fuzzy clustering algorithm, deep auto encoder with barnacle mating algorithm and random forest classifier techniques5
Intelligent diagnosis system of hepatitis C virus: A probabilistic neural network based approach5
Development and validation of an artificial intelligence software for periodontal bone loss in panoramic imaging5
Semantic context‐aware attention UNET for lung cancer segmentation and classification5
An efficient lymphocytic leukemia detection based on EfficientNets and ensemble voting classifier5
Pathological categorization of lung carcinoma from multimodality images using convolutional neural networks5
HPKNN: Hyper‐parameter optimized KNN classifier for classification of poikilocytosis5
Deep hybrid model for Mpox disease diagnosis from skin lesion images5
An edge guided cascaded U‐net approach for accelerated magnetic resonance imaging reconstruction5
A deep data‐driven approach for enhanced segmentation of blood vessel for diabetic retinopathy5
0.052791833877563