International Journal of Imaging Systems and Technology

Papers
(The TQCC of International Journal of Imaging Systems and Technology is 6. 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 2020-04-01 to 2024-04-01.)
ArticleCitations
Automatic COVID‐19 CT segmentation using U‐Net integrated spatial and channel attention mechanism91
Classification of Coronavirus (COVID‐19) from X‐ray and CT images using shrunken features76
ME‐Net: Multi‐encoder net framework for brain tumor segmentation74
Brain tumor diagnosis based on metaheuristics and deep learning72
Future IoT tools for COVID‐19 contact tracing and prediction: A review of the state‐of‐the‐science56
Glaucoma assessment from color fundus images using convolutional neural network55
Novel computer‐aided lung cancer detection based on convolutional neural network‐based and feature‐based classifiers using metaheuristics50
An intelligent fuzzy inference rule‐based expert recommendation system for predictive diabetes diagnosis49
Automatic skin cancer detection in dermoscopy images by combining convolutional neural networks and texture features45
Breast cancer histopathological image classification using attention high‐order deep network41
Convolutional capsule network for COVID‐19 detection using radiography images41
Multimodal brain tumor detection and classification using deep saliency map and improved dragonfly optimization algorithm40
Automatic breast cancer detection based on optimized neural network using whale 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 images34
DHS‐CapsNet: Dual horizontal squash capsule networks for lung and colon cancer classification from whole slide histopathological images33
mRMR‐based hybrid convolutional neural network model for classification of Alzheimer's disease on brain magnetic resonance images33
Melanoma segmentation: A framework of improved DenseNet77 and UNET convolutional neural network32
Breast cancer histopathology image classification using kernelized weighted extreme learning machine32
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_ColonNET31
RETRACTED: Implementation of deep neural networks for classifying electroencephalogram signal using fractional S‐transform for epileptic seizure detection31
Early detection of melanoma images using gray level co‐occurrence matrix features and machine learning techniques for effective clinical diagnosis27
COLI‐Net: Deep learning‐assisted fully automated COVID‐19 lung and infection pneumonia lesion detection and segmentation from chest computed tomography images27
En‐ConvNet: A novel approach for glaucoma detection from color fundus images using ensemble of deep convolutional neural networks27
Three‐class classification of brain magnetic resonance images using average‐pooling convolutional neural network26
Recognition of ischaemia and infection in diabetic foot ulcer: A deep convolutional neural network based approach26
A novel and efficient deep learning approach for COVID‐19 detection using X‐ray imaging modality25
A novel approach in multimodality medical image fusion using optimal shearlet and deep learning25
Detection and diagnosis of brain tumors using deep learning convolutional neural networks25
RETRACTED: Optimal brain tumor diagnosis based on deep learning and balanced sparrow search algorithm24
A novel multimodality anatomical image fusion method based on contrast and structure extraction24
High‐quality retinal vessel segmentation using generative adversarial network with a large receptive field24
Detecting brain tumors using deep learning convolutional neural network with transfer learning approach23
An end‐to‐end brain tumor segmentation system using multi‐inception‐UNET22
Transfer learning‐based platform for detecting multi‐classification retinal disorders using optical coherence tomography images22
Deeply supervised U‐Net for mass segmentation in digital mammograms22
Modified transform‐based gamma correction for MRI tumor image denoising and segmentation by optimized histon‐based elephant herding algorithm22
Illumination normalized based technique for retinal blood vessel segmentation21
A lightweight capsule network architecture for detection of COVID‐19 from lung CT scans20
A novel machine learning‐based analytical framework for automatic detection of COVID‐19 using chest X‐ray images20
An accurate and noninvasive skin cancer screening based on imaging technique19
Improving medical image fusion method using fuzzy entropy and nonsubsampling contourlet transform19
Automatic diagnosis of diabetic retinopathy with the aid of adaptive average filtering with optimized deep convolutional neural network19
A deep learning approach for classification of COVID and pneumonia using DenseNet‐20119
A deep learning model for mass screening of COVID‐1919
An integrated feature frame work for automated segmentation of COVID‐19 infection from lung CT images18
Transfer learning networks with skip connections for classification of brain tumors18
Nonparametric variational learning of multivariate beta mixture models in medical applications18
Superpixel with nanoscale imaging and boosted deep convolutional neural network concept for lung tumor classification18
A novel improved crow‐search algorithm to classify the severity in digital mammograms18
A new medical image enhancement algorithm using adaptive parameters18
Mask RCNN algorithm for nuclei detection on breast cancer histopathological images17
A novel two‐band equilateral wavelet filter bank method for an automated detection of seizure from EEG signals17
Image denoising for magnetic resonance imaging medical images using improved generalized cross‐validation based on the diffusivity function17
Intuitionistic fuzzy approach for enhancement of low contrast mammogram images17
Deep transfer learning based hepatitis B virus diagnosis using spectroscopic images17
Diabetic retinopathy severity grading employing quadrant‐based Inception‐V3 convolution neural network architecture17
Classification of breast cancer histopathological image with deep residual learning16
Emotion identification by dynamic entropy and ensemble learning from electroencephalogram signals16
Comparison of the impacts of dermoscopy image augmentation methods on skin cancer classification and a new augmentation method with wavelet packets16
Automatic classification of severity of COVID‐19 patients using texture feature and random forest based on computed tomography images16
Development of automatic glioma brain tumor detection system using deep convolutional neural networks16
Classification of the four‐class motor imagery signals using continuous wavelet transform filter bank‐based two‐dimensional images15
Deep learning based Alzheimer's disease early diagnosis using T2w segmented gray matter MRI15
Nonlocal convolutional block attention module VNet for gliomas automatic segmentation15
The effect of deep feature concatenation in the classification problem: An approach on COVID‐19 disease detection15
Detection and classification of electroencephalogram signals for epilepsy disease using machine learning methods15
A novel software framework for magnetic particle imaging reconstruction14
Lung cancer detection by using probabilistic majority voting and optimization techniques14
Morphological feature extraction and KNG‐CNN classification of CT images for early lung cancer detection14
Skin lesion segmentation based on mask RCNN, Multi Atrous Full‐CNN, and a geodesic method14
Automatic detection and localization of COVID‐19 pneumonia using axial computed tomography images and deep convolutional neural networks14
Automatic detection of eardrum otoendoscopic images in patients with otitis media using hybrid‐based deep models14
Optimized segmentation and classification for liver tumor segmentation and classification using opposition‐based spotted hyena optimization13
Detection of pneumonia in chest X‐ray images by using 2D discrete wavelet feature extraction with random forest13
ECG steganography based on tunable Q‐factor wavelet transform and singular value decomposition13
A novel receptive field‐regularized V‐net and nodule classification network for lung nodule detection13
An automated and fast system to identify COVID‐19 from X‐ray radiograph of the chest using image processing and machine learning13
Deep learning on compressed sensing measurements in pneumonia detection12
A deep learning framework for glaucoma detection based on robust optic disc segmentation and transfer learning12
NCA‐based hybrid convolutional neural network model for classification of cervical cancer on gauss‐enhanced pap‐smear images12
Optimal weighted hybrid pattern for content based medical image retrieval using modified spider monkey optimization12
An improved framework for polyp image segmentation based on SegNet architecture12
A novel discriminant feature selection–based mutual information extraction from MR brain images for Alzheimer's stages detection and prediction12
Analysis of brain‐facial muscle connection in the static fractal visual stimulation12
SLICACO: An automated novel hybrid approach for dermatoscopic melanocytic skin lesion segmentation12
Brain tumour classification using siamese neural network and neighbourhood analysis in embedded feature space12
Image processing and machine learning‐based bone fracture detection and classification using X‐ray images12
Mobile‐aided screening system for proliferative diabetic retinopathy11
Medical image denoising using optimal thresholding of wavelet coefficients with selection of the best decomposition level and mother wavelet11
Cataract grading method based on deep convolutional neural networks and stacking ensemble learning11
Deep‐features with Bayesian optimized classifiers for the breast cancer diagnosis11
Breast cancer diagnosis from mammographic images using optimized feature selection and neural network architecture11
A fast and high frame rate adaptive beamforming using DCT‐based RF‐line recovery in line‐by‐line ultrasound imaging11
Content‐based gastric image retrieval using convolutional neural networks10
Automatic segmentation of nuclei from pap smear cell images: A step toward cervical cancer screening10
COVID‐19 vs influenza viruses: A cockroach optimized deep neural network classification approach10
A novel automated depression detection technique using text transcript10
A novel hybrid artificial neural network technique for the early skin cancer diagnosis using color space conversions of original images10
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
Feature‐versus deep learning‐based approaches for the automated detection of brain tumor with magnetic resonance images: A comparative study10
Severity detection and infection level identification of tuberculosis using deep learning10
Pulmonary disease diagnosis using African vulture optimized weighted support vector machine approach10
Performance analysis of classification and segmentation of cysts in panoramic dental images using convolutional neural network architecture10
Hybrid features and optimization‐driven recurrent neural network for glaucoma detection9
Intelligent detection and applied research on diabetic retinopathy based on the residual attention network9
Patch‐based local deep feature extraction for automated skin cancer classification9
Electroencephalography based imagined alphabets classification using spatial and time‐domain features9
An enhanced framework for identifying brain tumor using discrete wavelet transform, deep convolutional network, and feature fusion‐based machine learning techniques9
Approaches to preclinical studies with heterogeneous breast phantom using reconstruction and three‐dimensional image processing algorithms for diffuse optical imaging9
A comprehensive review on automated systems for severity grading of diabetic retinopathy and macular edema9
Utilizing the spatial frequency domain imaging to investigate change in optical parameters of skin exposed to thermal‐hydrotherapy: Ex‐vivo study9
Multimodal medical image fusion based on the spectral total variation and local structural patch measurement9
Triple novelty block detection and classification approach for lung tumor analysis9
Automated diagnosis system for age‐related macular degeneration using hybrid features set from fundus images9
Optimized hybrid classifier for diagnosing diabetic retinopathy: Iterative blood vessel segmentation process9
Magnetic resonance imaging reconstruction via non‐convex total variation regularization9
Multimodal covid network: Multimodal bespoke convolutional neural network architectures for COVID‐19 detection from chest X‐ray's and computerized tomography scans8
Aggregated residual transformation network for multistage classification in diabetic retinopathy8
A CNN transfer learning‐based approach for segmentation and classification of brain stroke from noncontrast CT images8
Fuzzy clustering‐based image segmentation techniques used to segment magnetic resonance imaging/computed tomography scan brain tissues: Comparative analysis8
COVSeg‐NET: A deep convolution neural network for COVID‐19 lung CT image segmentation8
An ensemble model of convolution and recurrent neural network for skin disease classification8
A hybrid feature fusion strategy for early fusion and majority voting for late fusion towards melanocytic skin lesion detection8
Retinal image enhancement using adaptive histogram equalization tuned with nonsimilar grouping curvelet8
Classification of brain hemorrhage computed tomography images using OzNet hybrid algorithm8
A deep learning model integrating convolution neural network and multiple kernel K means clustering for segmenting brain tumor in magnetic resonance images8
A machine learning classification approach based glioma brain tumor detection8
A study to identify limitations of existing automated systems to detect glaucoma at initial and curable stage8
Cancer detection using convolutional neural network optimized by multistrategy artificial electric field algorithm8
A novel threshold score based multiclass segmentation technique for brain magnetic resonance images using adaptive opposition slime mold algorithm8
Learning domain transfer for unsupervised magnetic resonance imaging restoration and edge enhancement8
SkinNet‐ENDO: Multiclass skin lesion recognition using deep neural network and Entropy‐Normal distribution optimization algorithm with ELM8
LiteCovidNet: A lightweight deep neural network model for detection of COVID‐19 using X‐ray images8
Improved pulmonary lung nodules risk stratification in computed tomography images by fusing shape and texture features in a machine‐learning paradigm7
COVID‐opt‐aiNet: A clinical decision support system for COVID‐19 detection7
Detection of lung tumor using dual tree complex wavelet transform and co‐active adaptive neuro fuzzy inference system classification approach7
Multi‐level dilated convolutional neural network for brain tumour segmentation and multi‐view‐based radiomics for overall survival prediction7
Curvelet and fast marching method‐based technique for efficient artifact detection and removal in dermoscopic images7
Particle swarm optimization‐based liver disorder ultrasound image classification using multi‐level and multi‐domain features7
Retinal vessel segmentation based on an improved deep forest7
A fuzzy logic‐based meningioma tumor detection in magnetic resonance brain images using CANFIS and U‐Net CNN classification7
Identifying brain regions contributing to Alzheimer's disease using self regulating particle swarm optimization7
Automated screening of glaucoma stages from retinal fundus images using BPS and LBP based GLCM features7
Differentiation of tumoral and non‐tumoral breast lesions using back reflection diffuse optical tomography: A pilot clinical study7
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
A novel convolutional neural network‐based approach for brain tumor classification using magnetic resonance images7
Optimal deep belief network with opposition‐based hybrid grasshopper and honeybee optimization algorithm for lung cancer classification: A DBNGHHB approach7
Liver tumor segmentation from computed tomography images using multiscale residual dilated encoder‐decoder network7
Random forest and rotation forest ensemble methods for classification of epileptic EEG signals based on improved 1D‐LBP feature extraction7
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
GAN‐segNet: A deep generative adversarial segmentation network for brain tumor semantic segmentation7
Detection and diagnosis of COVID‐19 infection in lungs images using deep learning techniques7
Multimodal magnetic resonance imaging for Alzheimer's disease diagnosis using hybrid features extraction and ensemble support vector machines7
AlexNet‐NDTL: Classification of MRI brain tumor images using modified AlexNet with deep transfer learning and Lipschitz‐based data augmentation7
Deep learning‐based automated mitosis detection in histopathology images for breast cancer grading6
Lung segmentation on chest X‐ray images in patients with severe abnormal findings using deep learning6
Performance evaluation of 67 denoising filters in ultrasound images: A systematic comparison analysis6
Real‐time automated segmentation of breast lesions using CNN‐based deep learning paradigm: Investigation on mammogram and ultrasound6
Automatic detection of keratoconus on Pentacam images using feature selection based on deep learning6
Interpretable ensemble deep learning model for early detection of Alzheimer's disease using local interpretable model‐agnostic explanations6
Detection and diagnosis of brain tumors‐framework using extreme machine learning and CANFIS classification algorithms6
TWEEC: Computer‐aided glaucoma diagnosis from retinal images using deep learning techniques6
Rapid head‐pose detection for automated slice prescription of fetal‐brain MRI6
Neuromuscular disease detection based on feature extraction from time–frequency images of EMG signals employing robust hyperbolic Stockwell transform6
Dementia MRI image classification using transformation technique based on elephant herding optimization with Randomized Adam method for updating the hyper‐parameters6
Classification of brain tumor from magnetic resonance images using probabilistic features and possibilistic Hanman–Shannon transform classifier6
Adaptive image denoising for speckle noise images based on fuzzy logic6
Sparse structure deep network embedding for transforming brain functional network in early mild cognitive impairment classification6
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