International Journal of Imaging Systems and Technology

Papers
(The median citation count of International Journal of Imaging Systems and Technology is 1. 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 2022-06-01 to 2026-06-01.)
ArticleCitations
Integrating Multi‐Scale Feature Boundary Module and Feature Fusion With CNN for Accurate Skin Cancer Segmentation and Classification111
Pixel by Pixel Semantic Segmentation Approach on WSI Images for Gastric Gland Segmentation and Gastric Cancer Grade Classification Using MLPXAI Model90
Development of preprocessing methods and revised EfficientNet for diabetic retinopathy detection84
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An efficient deep learning algorithm for the segmentation of cardiac ventricles66
TTNet : Three‐Stages Tooth Segmentation Network Based on Tooth Masks in CBCT Images65
Polyp segmentation network based on lightweight model and reverse attention mechanisms56
A novel automated depression detection technique using text transcript56
Modified Transformer‐Based Pixel Segmentation for Breast Tumor Detection55
GRASP ‐Net: Grouped Residual Convolution U‐Net With Attention Mechanism and Atrous Spatial Pyramid Pooling for Prostate Zone Segmentation Using 50
Deep learning convolutional neural network ResNet101 and radiomic features accurately analyzes mpMRI imaging to predict MGMT promoter methylation status with transfer 47
Synthesizing Images With Annotations for Medical Image Segmentation Using Diffusion Probabilistic Model41
Few‐shot segmentation for esophageal OCT images based on self‐supervised vision transformer40
A lightweight deep learning model for retinal optical coherence tomography image classification38
CITMambaNet : Cross Modality Progressive Fusion ITMamba Network for PET 38
A dual channel and spatial attention network for automatic spine segmentation of MRI images37
Diagnosis of glaucoma from retinal fundus images using disc localization and sequential DNN model37
RETRACTED: Multi‐classification of brain tumor by using deep convolutional neural network model in magnetic resonance imagin37
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An automatic gastric polyp detection technique using deep learning33
Relationship between reduced scattering coefficient and intracranial pressure in clinical patients under different brain edema states33
Automatic liver tumor segmentation on multiphase computed tomography volume using SegNet deep neural network and K‐means clustering32
VMCUNet: A Vision Mamba‐CNN U‐Net for Tumor Segmentation in Breast Ultrasound Image32
Microaneurysm Detection With Multiscale Attention and Trident RPN32
Tensor‐Based Weber Feature Representation of Brain CT Images for the Automated Classification of Ischemic Stroke31
A joint autoencoder and classifier deep neural network for AD and MCI classification29
OPFSS: A Few‐Shot Medical Image Segmentation Algorithm Based on Optimized Pseudo‐Annotations and Self‐Attention29
Performance analysis of various denoising filters on intravascular ultrasound coronary artery images27
Feature selection and classification using bio‐inspired algorithms for the diagnosis of pulmonary emphysema subtypes26
Hybrid‐Patch‐Alex: A new patch division and deep feature extraction‐based image classification model to detect COVID‐19, heart failure, and other lung conditions using medical im25
GSCCANet : Dual Decoder Network Fusing Edge Focus and Global Channel Attention for Precise Segmentation of Colonic Polyps24
A Novel Framework for Lung Disease Classification Using Multiscale Convolutional Neural Networks With an Integrated Dynamic Attention Mechanism23
RIBM3DU‐Net: Glioma tumour substructures segmentation in magnetic resonance images using residual‐inception block with modified 3D U‐Net architecture22
TPA ‐Seg: Multi‐Class Nucleus Segmentation Using Text Prompts and Cross‐Attention22
U 2 DBA : A Dual‐Scale Boundary‐Aware N22
Multiloss strategy for breast cancer subtype classification using digital breast tomosynthesis21
Squeeze and multi‐context attention for polyp segmentation21
Development and validation of an artificial intelligence software for periodontal bone loss in panoramic imaging21
Identification of Autism Through Fractal Analysis of EEG Signals and Bayesian Optimized Artificial Neural Network21
Retraction: Optimal brain tumor diagnosis based on deep learning and balanced sparrow search algorithm21
Empowering ultrasound image filtering precision by reducing speckles and preserving edge cues20
Registration‐enhanced multiple instance learning for cervical cancer whole slide image classification20
SSANet—Novel Residual Network for Computer‐Aided Diagnosis of Pulmonary Nodules in Chest Computed Tomography20
Two‐dimensional medical image segmentation based on U‐shaped structure20
Rapid Early Screening for Lymphedema Using Kinect19
SPICE : Leveraging Soft Probabilistic Causal Intervention for Breast Ultrasound Tumor Segmentation19
Multi‐level deep learning based lung cancer classifier for classification based on tumour‐node‐metastasis approach18
A modified contrast source inversion method for microwave tomographic imaging of Debye dispersive media18
Deep Depthwise Residual Network for Knee Meniscus Segmentation From Magnetic Resonance Imaging17
IGFCNN : An Optimized Deep Learning Model for Covid‐19 Classification17
DFABU ‐Net: A Dual Parallel Branch Medical Image Segmentation Model With Attention Mechanism17
Embedded System‐Based Malaria Detection From Blood Smear Images Using Lightweight Deep Learning Model17
Distributed autoencoder classifier network for small‐scale and scattered COVID‐19 dataset classification16
Preparing a successful Special Issue proposal16
Enhanced ECG Signal Classification Using Multi‐Branch Convolutions and Mamba Blocks With State‐Space Models16
Ventricular segmentation and modeling using topological watershed transformation and harmonic state model16
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Hybrid MRUNet +: Enhanced Multi‐Structure Retinal Segmentation for Optic Cup, Disc, and Vascular Features in Complex Imaging Conditions16
Prediction of drug amount in Parkinson's disease using hybrid machine learning systems and radiomics features16
An automatic measurement method for ankle key angles based on point cloud segmentation network16
Efficient multiscale spatial attention3Dabdominal multiorgan segmentation model15
SABOS‐Net: Self‐supervised attention based network for automatic organ segmentation of head and neck CT images15
A Novel Network With Spectrum Transformer and Triplet Attention for CT Image Segmentation15
Automated Segmentation of Brain Gliomas in Multimodal MRI Data15
Cover Image15
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Classification of brain hemorrhage computed tomography images using OzNet hybrid algorithm14
A CNN transfer learning‐based approach for segmentation and classification of brain stroke from noncontrast CT images14
Feature Pyramid Network Based Spatial Attention and Cross‐Level Semantic Similarity for Diseases Segmentation From Capsule Endoscopy Images14
Correction to “Multi‐Branch Sustainable Convolutional Neural Network for Disease Classification”14
Advanced Image Enhancement and a Lightweight Feature Pyramid Network for Detecting Microaneurysms in Diabetic Retinopathy Screening14
Automated differentiation of skin melanocytes from keratinocytes in high‐resolution histopathology images using a weakly‐supervised deep‐learning framework14
Identification of biological markers in cancer disease using explainable artificial intelligence14
HPKNN: Hyper‐parameter optimized KNN classifier for classification of poikilocytosis14
SF Net: A Pyramid‐Based Feature Fusion Convolutional Neural Network With Embedded Squeeze‐and‐Excitation Mechanism for Retinal OCT Image Classification14
Issue Information14
Sleep disorder identification using wavelet scattering on ECG signals13
Federated learning‐based colorectal cancer classification by convolutional neural networks and general visual representation learning13
Deformable Encoder–Decoder Network for Accurate Retinal Vessel Segmentation13
MorphoFormer : Dual‐Branch Dilated Transformer With Pathological Prior Fusion for Cervical Cell Morphology Analysis13
Automatic semantic segmentation for dental restorations in panoramic radiography images using U‐Net model13
Using normalized echo state network to detect abnormal ECG patterns12
Automated Thyroid Disease Detection Using a Deep Learning Approach of Kolmogorov–Arnold Graph Neural Networks12
Medical image contrast enhancement based on improved sparrow search algorithm12
An AGRetinaNet for Embryonic Blastomeres Detection and Counting12
A Hybrid Deep Spatiotemporal Attention‐Based Model for Parkinson's Disease Diagnosis Using Resting State EEG Signals12
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Multiscale attention network for retinal vein occlusion classification with multicolor image12
Denoising smooth‐detail representation of MRI‐SPECT fusion12
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Comparison of the impacts of dermoscopy image augmentation methods on skin cancer classification and a new augmentation method with wavelet packets12
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Automated diagnosis of COVID stages using texture‐based Gabor features in variational mode decomposition from CT images12
Towards Efficient Brain Tumor Segmentation via a Transformer‐Driven 3D U‐Net11
Mistral in Radiology: AI ‐Powered Classification of Normal and Abnormal Reports11
Rectal Cancer Segmentation: A Methodical Approach for Generalizable Deep Learning in a Multi‐Center Setting11
Application of SVM Based on Optimization of Newton Raphson's Algorithm in Non‐Invasive Blood Glucose Detection11
Feature Subspace Projection Knowledge Distillation for Medical Image Segmentation11
Detection of liver abnormalities—A new paradigm in medical image processing and classification techniques11
A Structure‐Preserving Denoising Diffusion Model for AV45 PET Quantification Without MRI in Alzhei11
An optimal system for increasing the contrast resolution qualities of histopathology images in the wavelet domain10
An efficient quantification of COVID‐19 in chest CT images with improved semantic segmentation using U‐Net deep structure10
ARCNet : Adaptive Reconstruction‐Driven Cascaded Network for Deformable Registration of Images With Pathologies10
Histopathological carcinoma classification using parallel, cross‐concatenated and grouped convolutions deep neural network10
A Dynamic Multi‐Output Convolutional Neural Network for Skin Lesion Classification10
An Explainable AI for Blood Image Classification With Dynamic CNN Model Selection Framework10
Segmentation of Brain Tumor Resections in Intraoperative 3D Ultrasound Images Using a Semisupervised Cross nnSU‐Net10
Convolution Block Extension of DCNN for Retinal Vascular Segmentation: Taxonomy and Discussion10
Cross‐Slice Context Modeling via Hybrid Mamba‐ CNN for Universal Lesion Detection in CT Scans10
A deep learning‐based x‐ray imaging diagnosis system for classification of tuberculosis, COVID‐19 10
Multimodal Connectivity‐Guided Glioma Segmentation From Magnetic Resonance Images via Cascaded 3D Residual U‐Net10
A deep conventional neural network model for glioma tumor segmentation10
MTBAAN: Multi‐View Topological Bilinear Aggregation Attention Network Model for Alzheimer's Disease Diagnosis10
Non‐Invasive Prediction of Axillary Lymph Node Metastasis in Breast Cancer Using Combined Clinical, Radiomics, and Deep Learning Features10
Comprehensive Multitask Ensemble Segmentation and Clinical Interpretation of Pancreatic and Peripancreatic Anatomy With Radiomics and Deep Learning Features9
Structural biomarker‐based Alzheimer's disease detection via ensemble learning techniques9
Retinal fundus image registration framework using Bayesian integration and asymmetric Gaussian mixture model9
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A region of interest focused Triple UNet architecture for skin lesion segmentation9
Clinically Aligned AI for Diabetic Retinopathy: Interpretable Grading Based on Lesion Segmentation9
Image processing and machine learning‐based bone fracture detection and classification using X‐ray images9
Breaking Barriers in Cancer Diagnosis: Super‐Light Compact Convolution Transformer for Colon and Lung Cancer Detection9
Optimize Neural Fuzzy Systems for High‐Dimensional Breast Cancer Data Analysis: A Deep Learning Approach9
A joint segmentation and classification framework for COVID‐19 infection segmentation and detection from chest CT images9
Assessment of magnetic resonance imaging and histopathological changes in chordoid glioma: A retrospective analysis of 13 cases9
Advancing Cervical Cancer Classification Through a Fusion of CNN and Vision Transformer Models9
An interpretable deep learning Bayesian optimized random forest framework for the diagnosis of Parkinson's disease in structural magnetic resonance images9
C‐TUnet: A CNN‐Transformer Architecture‐Based Ultrasound Breast Image Classification Network9
Issue Information9
Effect of physical exercise and noninvasive brain stimulation on cognition and dementia of elderly people with frailty: A randomized study9
Machine Learning Framework for Classification of COVID ‐19 Variants Using K‐mer Based DNA Sequenci9
A Dental Fluorosis Segmentation Model Combining Dynamic Snake Convolution and Learnable Shape Prior9
A Novel Edge‐Enhanced Networks for Optic Disc and Optic Cup Segmentation9
Advancing Computer‐Assisted Diabetic Retinopathy Grading: A Super Learner Ensemble Technique for Fundus Imagery8
Hybrid 1D CNNBiLSTM Model for Early Parkinson's Disease Detection From Speech Signals8
Accurate diagnosis of dementia and Alzheimer's with deep network approach based on multi‐channel feature extraction and selection8
Convolutional Block Attention Module and Parallel Branch Architectures for Cervical Cell Classification8
Predicting the Early Detection of Breast Cancer Using Hybrid Machine Learning Systems and Thermographic Imaging8
Real‐time coloring method of laser surgery video based on generative adversarial network8
A Metaheuristic‐Based Conductivity Distribution Optimization Method for Accurate Imaging in Electrical Impedance Tomography8
Multiscale Feature Fusion Booster Network for Segmentation of Colorectal Polyp8
Convolutional Neural Network‐Based CT Image Segmentation of Kidney Tumours8
Automated knee osteoarthritis severity classification using three‐stage preprocessing method andVGG16architecture8
Enhancing level set brain tumor segmentation using fuzzy shape prior information and deep learning8
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Attention augmented residual autoencoder for efficient polyp segmentation8
A Hybrid Convolutional Neural Network Model for the Classification of Multi‐Class Skin Cancer8
Improving Image Quality of Thin‐Slice and Low‐ keV Images in Dual‐Energy CT Angiography for Childr8
Multi‐Class Classification of Diabetic Retinopathy Diseases From Fundus Images Using Criss‐Cross Attention Based Deep Residual Squeeze and Excitation Assisted Vision Transformer Model8
Pneumonia Image Classification Based on Lightweight Mobile ViT Networks8
Efficient spine segmentation network based on multi‐scale feature extraction and multi‐dimensional spatial attention8
Colour‐based segmentation using FCM and K‐means clustering for 3D 8
A Hybrid Deep Learning Approach for Enhanced Classification of Lung Pathologies From Chest X‐Ray7
Advanced imaging system for brain tumor automatic classification from MRI images using HOG and 7
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CFIFusion: Dual‐Branch Complementary Feature Injection Network for Medical Image Fusion7
SOCR‐YOLO: Small Objects Detection Algorithm in Medical Images7
A Lightweight Statistical Multi‐Feature Adaptive Attention Network for Dermoscopic Image Segmentation7
Enhanced Deformation Vector Field Generation With Diffusion Models and Mamba‐Based Network for Registration Performance Enhancement7
Application program interface for automatic segmentation of retinal layers and fluids in Optical Coherence Tomography ‐ Neovascular Age related Macular degeneration retinal images using dee7
Discriminative Consistency Semi‐Supervised Carotid Ultrasound Plaque Segmentation by Exploiting Global Context7
MAUNet: Polyp segmentation network based on multiscale feature fusion of attention U‐shaped network structure7
Intelligent MRI diagnosis of neurological alterations in infants from 4 to 12 months7
MacD‐Net : An automatic guided‐ensemble approach for macular pathology detection using optical coherence tomography images7
Recognizing of Vocal Fold Disorders From High Speed Video: Use of Spatio‐Temporal Deep Neural Networks7
COVID‐19 lung infection segmentation from chest CT images based on CAPA‐ResUNet7
GLRP: Global and local contrastive learning based on relative position for medical image segmentation on cardiac MRI7
Real‐time small bowel visualization quality assessment in wireless capsule endoscopy images using different lightweight embeddable models7
SpineDeep ‐Net: Dual‐Self‐Attention‐Based Deep Neural Network for Automating Slice Selection and Precise Transverse Plane Localization in Lumbar Spine 7
Deep learning based Glaucoma Network Classification (GNC) using retinal images7
Improved GAN for image resolution enhancement using ViT for breast cancer detection7
Fusing feature and output space for unsupervised domain adaptation on medical image segmentation7
TAU‐EffNetB7 : A Novel Triple Attention U‐Net Approach Using EfficientNetB7 for Enhanced Polyp Segmentation7
Feature Derivative‐Based Pixel Segmentation Method for Detecting Lung Tumors From CT Images7
A new medical image enhancement algorithm using adaptive parameters7
Lung lobe segmentation in computed tomography images based on multi‐feature fusion and ensemble learning framework7
Diagnose Like a Doctor: A Vision‐Guided Global–Local Fusion Network for Chest Disease Diagnosis7
BATU: A Workflow for Multi‐Network Ensemble Learning in Cross‐Dataset Generalization of Skin Lesion Analysis7
Improving Stroke Segmentation and Classification Performance Using a Goal‐Oriented Deep Learning Framework7
Systematic study and design of multimodal MRI image augmentation for brain tumor detection with loss aware exchange and residual networks7
AlexNet‐NDTL: Classification of MRI brain tumor images using modified AlexNet with deep transfer learning and Lipschitz‐based data augmentation6
Comprehensive Experimentation of Pretrained Models on Slice‐Based Classification of Interstitial Lung Disease Patterns6
MaFMatch : Semi‐Supervised Medical Image Segmentation Network Based on Mixed Data and Feature Augmentation6
OccluDentNet : Self‐Supervised 3D Tooth Segmentation via MambaTrans 6
Enhancing Skin Cancer Segmentation Using Lightweight Encoder–Decoder Architecture Integrated With Fusion of Attention Blocks6
Multi‐planar 3D knee MRI segmentation via UNet inspired architectures6
Deep Learning and Handcrafted Features for Thyroid Nodule Classification6
Dual‐Path Multi‐Scale CNN for Precise Classification of Non‐Small Cell Lung Cancer6
Adaptive Binary Focal Loss: Enhancing Radiograph Image Classification With Balanced Specificity and Sensitivity6
Cover Image6
Application of MLEMTV Algorithm in Diffuse Correlation Tomography Blood Flow Imaging6
Interactive CNN and Transformer‐Based Cross‐Attention Fusion Network for Medical Image Classification6
NIRII Fluorescence Image Translation via Latent Space Disentanglement6
Robust Segmentation of Skin Lesions via Confidence‐Guided ConvLSTM Integrated With Advanced Curriculum Strategies6
Constructing brain functional networks with adaptive manifold regularization for early mild cognitive impairment6
Unsupervised Domain Adaptation for Simultaneous Segmentation and Classification of the Retinal Arteries and Veins6
FPUNet : A Multi‐Level Residual Fractional Domain Transformer Network for Ischemic Stroke Image Segmentation6
Novel Model of Medical CT Image Segmentation Based on GANs With Residual Neural Networks6
Advanced Machine Learning and Deep Learning Approaches for Accurate Epileptic Seizure Detection Using EEG Signals6
A Review of Deep Learning for Respiratory Motion Tracking in 2D and 3D Ultrasound Sequences for Im6
HCN: Hybrid Capsule Network for Fetal Plane Classification in Ultrasound Images6
An Enhanced Double‐Unet Segmentation Framework for the Early Detection of Diabetic Retinopathy6
Multiscale Dynamic Attention Framework for Skin Lesion Segmentation and Classification5
A Novel Deep Learning Model Based Cancerous Lung Nodules Severity Grading Framework Using CT Images5
A Novel Transfer Learning Approach for Skin Cancer Classification on ISIC 2024 3D Total Body Photo5
CS U‐ NET : A Medical Image Segmentation Method Integrating Spatial and Contextual Attention Mechanisms Based on U‐ 5
CBAM Attention Gate‐Based Lightweight Deep Neural Network Model for Improved Retinal Vessel Segmentation5
A Center‐Border Dual‐Branch Network With Dynamic Weighted Fusion for Breast Cancer Histopathology Image Classification5
Segmentation of the left atrium and proximal pulmonary veins based on dimensional decomposition attention5
HeCapsNet: An enhanced capsule network for automated heel disease diagnosis using lateral foot X‐Ray images5
EDenseNetViT : Leveraging Ensemble Vision Transform Integrated Transfer Learning for Advanced Differentiation and Severity Scoring of Tuberculosis5
MR Brain Tumor Image Segmentation Based on EAUNet5
CAS‐GAN: A Novel Generative Adversarial Network‐Based Architecture for Coronary Artery Segmentation5
RETRACTED: SAtUNet: Series atrous convolution enhanced U‐Net for lung nodule segmentation5
Detection of Plus Disease in Retinopathy of Prematurity Using Deep Learning Models: Evaluating Vision Transformers and ResNet Architectures5
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Robust nuclei segmentation with encoder‐decoder network from the histopathological images5
Enhancing Lung Cancer Screening With an Automated Deep Learning System: A Resource‐Efficient Approach5
Total variation‐based ultrasound image despeckling using method noise thresholding in non‐subsampled contourlet transform5
Detection and classification of large bowel obstruction from X‐ray images using machine learning algorithms5
XCapsNet: A deep neural network for automated detection of diabetic retinopathy5
Efficient‐Residual Net—A Hybrid Neural Network for Automated Brain Tumor Detection5
Enhanced BoxInst for Weakly Supervised Liver Tumor Instance Segmentation in CT Images5
Issue Information5
An improved semantic segmentation for breast lesion from dynamic contrast enhanced MRI images using deep learning5
Improved Brain Tumor Segmentation With SegFormer : A Transformer‐Based Architecture for Cross‐Dataset Generalization5
Privacy preserved collaborative transfer learning model with heterogeneous distributed data for brain tumor classification5
GLAN: Global Local Attention Network for Thoracic Disease Classification to Enhance Heart Failure Diagnosis5
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Deep learning approach for brain tumor classification using metaheuristic optimization with gene expression data5
Using a convolutional neural network model to derive imaging landmarks for lumbar spine numbering on axial magnetic resonance images5
BCUIS‐Net : A breast cancer ultrasound image segmentation network via boundary‐aware and shape feature fusion5
Filter Bank Regularized Riemannian Features Fusion Based on Dempster–Shafer Theory for Small Sample Motor Imagery Classification5
Multimodal MRI‐Based Glioma Segmentation and MGMT Promoter Methylation Status Prediction Using Multitask Learning Architecture5
An efficient brain tumor segmentation model based on group normalization and 3D U‐Net5
Multi‐branch sustainable convolutional neural network for disease classification5
ESFCU‐Net: A Lightweight Hybrid Architecture Incorporating Self‐Attention and Edge Enhancement Mechanisms for Enhanced Polyp Image Segmentation5
YOLOv5 based detector for eight different urine particles components on single board computer5
Integrating Cross‐Scale Attention With Atrous Spatial Pyramid Pooling for Accurate Optic Disc and Cup Segmentation5
Enhancement of Chest X‐Ray Images Classification With Fuzzy‐Variable Neural Network Activation Function4
Reduction Accelerated Adaptive Step‐Size FISTA Based Smooth‐Lasso Regularization for Fluorescence Molecular Tomography Reconstruction4
A powerful probabilistic model for noise analysis in medical images4
MTGWNN: A Multi‐Template Graph Wavelet Neural Network Identification Model for Autism Spectrum Disorder4
Enhancing Melanoma Diagnostic: Harnessing the Synergy of AI and CNNs for Groundbreaking Advances in Early Melanoma Detection and Treatment Strategies4
CXRODDet: An Omni‐Decoupled Multi‐Class Lesion Localization Framework for Automatic Chest X‐Ray Analysis4
Efficient breast cancer diagnosis using multi‐level progressive feature aggregation based deep transfer learning system4
Handling dataset dependence with model ensembles for skin lesion classification from dermoscopic and clinical images4
Morphological Complexity of Intrapapillary Capillary Loops for Predicting the Invasion Depth of Superficial Esophageal Neoplasms Using Narrow‐Band Imaging4
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