Deep learning approaches for classification tasks in medical X-ray, MRI, and ultrasound images: a scoping review

PRISMA Extension for Scoping Reviews (PRISMA-ScR): Checklist and Explanation

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Updated methodological guidance for the conduct of scoping reviews

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ChestX-Ray8: Hospital-Scale Chest X-Ray Database and Benchmarks on Weakly-Supervised Classification and Localization of Common Thorax Diseases

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Deep Learning: A Comprehensive Overview on Techniques, Taxonomy, Applications and Research Directions

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Web of Science (WoS) and Scopus: The Titans of Bibliographic Information in Today’s Academic World

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An overview of deep learning in medical imaging focusing on MRI

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A review: Data pre-processing and data augmentation techniques

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Deep Learning for Medical Image Processing: Overview, Challenges and the Future

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Deep Learning in Medical Imaging: General Overview

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Deep convolutional neural network based medical image classification for disease diagnosis

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Transfer learning for medical image classification: a literature review

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An overview of deep learning in medical imaging focusing on MRI

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Machine Learning and Deep Learning frameworks and libraries for large-scale data mining: a survey

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Modern Diagnostic Imaging Technique Applications and Risk Factors in the Medical Field: A Review

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A review of the application of deep learning in medical image classification and segmentation

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Interpretable deep learning: interpretation, interpretability, trustworthiness, and beyond

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A scoping review of transfer learning research on medical image analysis using ImageNet

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A Deep Learning Approach for Automated Diagnosis and Multi-Class Classification of Alzheimer’s Disease Stages Using Resting-State fMRI and Residual Neural Networks

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DEMNET: A Deep Learning Model for Early Diagnosis of Alzheimer Diseases and Dementia From MR Images

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Deep Multi-Scale 3D Convolutional Neural Network (CNN) for MRI Gliomas Brain Tumor Classification

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Deep learning for diabetic retinopathy detection and classification based on fundus images: A review

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Imaging strategies to reduce the risk of radiation in CT studies, including selective substitution with MRI

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Deep-learning neural-network architectures and methods: Using component-based models in building-design energy prediction

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Deep Learning Based Brain Tumor Detection and Classification

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Differential Deep Convolutional Neural Network Model for Brain Tumor Classification

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Fusion of convolution neural network, support vector machine and Sobel filter for accurate detection of COVID-19 patients using X-ray images

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Detection and Classification of Brain Tumor in MRI Images using Deep Convolutional Network

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An efficient deep learning scheme to detect breast cancer using mammogram and ultrasound breast images

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TX-CNN: Detecting tuberculosis in chest X-ray images using convolutional neural network

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DL-CRC: Deep Learning-Based Chest Radiograph Classification for COVID-19 Detection: A Novel Approach

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Extending 2-D Convolutional Neural Networks to 3-D for Advancing Deep Learning Cancer Classification With Application to MRI Liver Tumor Differentiation

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Advanced Meta-Heuristics, Convolutional Neural Networks, and Feature Selectors for Efficient COVID-19 X-Ray Chest Image Classification

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Multi-class classification of brain tumour magnetic resonance images using multi-branch network with inception block and five-fold cross validation deep learning framework

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DeepBreastCancerNet: A Novel Deep Learning Model for Breast Cancer Detection Using Ultrasound Images

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M3T: three-dimensional Medical image classifier using Multi-plane and Multi-slice Transformer

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ADD-Net: An Effective Deep Learning Model for Early Detection of Alzheimer Disease in MRI Scans

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XProtoNet: Diagnosis in Chest Radiography with Global and Local Explanations

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Deep learning models for tuberculosis detection and infected region visualization in chest X-ray images

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Prediction of COVID-19 Using Genetic Deep Learning Convolutional Neural Network (GDCNN)

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IEViT: An enhanced vision transformer architecture for chest X-ray image classification

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Deep Learning Based Binary Classification for Alzheimer’s Disease Detection using Brain MRI Images

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Diagnosis of Pediatric Pneumonia with Ensemble of Deep Convolutional Neural Networks in Chest X-Ray Images

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A Complete Review on Image Denoising Techniques for Medical Images

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Breast ultrasound tumor image classification using image decomposition and fusion based on adaptive multi-model spatial feature fusion

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Pneumonia Detection Using Chest Radiographs With Novel EfficientNetV2L Model

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Artificial Intelligence Applied to Chest X-Ray Images for the Automatic Detection of COVID-19. A Thoughtful Evaluation Approach

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Hybrid SFNet Model for Bone Fracture Detection and Classification Using ML/DL

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A deep learning approach for classification of COVID and pneumonia using DenseNet ‐201

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Brain MRI analysis using a deep learning based evolutionary approach

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Deep learning in periodontology and oral implantology: A scoping review

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Revolutionizing breast ultrasound diagnostics with EfficientNet-B7 and Explainable AI

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Diagnosis of Autism Spectrum Disorders in Young Children Based on Resting-State Functional Magnetic Resonance Imaging Data Using Convolutional Neural Networks

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Deep learning for rare disease: A scoping review

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Longitudinal analysis for Alzheimer's disease diagnosis using RNN

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Breast Tumour Classification Using Ultrasound Elastography with Machine Learning: A Systematic Scoping Review

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Addformer: Alzheimer’s Disease Detection from Structural Mri Using Fusion Transformer

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A deep learning framework integrating MRI image preprocessing methods for brain tumor segmentation and classification

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A novel deep learning model for breast lesion classification using ultrasound Images: A multicenter data evaluation

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Chest X-ray image phase features for improved diagnosis of COVID-19 using convolutional neural network

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Artificial Intelligence for Skin Cancer Detection: Scoping Review

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AHANet: Adaptive Hybrid Attention Network for Alzheimer’s Disease Classification Using Brain Magnetic Resonance Imaging

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Introducing a deep learning method for brain tumor classification using MRI data towards better performance

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Application of Artificial Intelligence in the MRI Classification Task of Human Brain Neurological and Psychiatric Diseases: A Scoping Review

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Multi-View Ensemble Convolutional Neural Network to Improve Classification of Pneumonia in Low Contrast Chest X-Ray Images

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Weakly-supervised deep learning for ultrasound diagnosis of breast cancer

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Automated Lung-Related Pneumonia and COVID-19 Detection Based on Novel Feature Extraction Framework and Vision Transformer Approaches Using Chest X-ray Images

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A comparative study of open source deep learning frameworks

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MRI ‐based prostate cancer detection with high‐level representation and hierarchical classification

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3D Convolutional Neural Networks for Diagnosis of Alzheimer's Disease via Structural MRI

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Feature-Guided CNN for Denoising Images From Portable Ultrasound Devices

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Transfer Learning Approaches for Neuroimaging Analysis: A Scoping Review

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Deep Learning in Image Classification: A Survey Report

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Ultrasound Image Classification of Thyroid Nodules Based on Deep Learning

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Precise proximal femur fracture classification for interactive training and surgical planning

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Medical imaging modalities: A survey

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COVID-19 Classification from Chest X-Ray Images: A Framework of Deep Explainable Artificial Intelligence

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Implementation of convolutional neural network approach for COVID-19 disease detection

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Automatic Thyroid Ultrasound Image Classification Using Feature Fusion Network

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Convolution Neural Network With Coordinate Attention for the Automatic Detection of Pulmonary Tuberculosis Images on Chest X-Rays

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Multi-Attribute Attention Network for Interpretable Diagnosis of Thyroid Nodules in Ultrasound Images

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COVID-GATNet: A Deep Learning Framework for Screening of COVID-19 from Chest X-Ray Images

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CoviNet: Automated COVID-19 Detection from X-rays using Deep Learning Techniques

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Pre-trained VGG-16 with CNN Architecture to classify X-Rays images into Normal or Pneumonia

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Deep learning in rare disease. Detection of tubers in tuberous sclerosis complex

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Fus2Net: a novel Convolutional Neural Network for classification of benign and malignant breast tumor in ultrasound images

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Classification of Liver Fibrosis From Heterogeneous Ultrasound Image

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Tumor Diagnosis against Other Brain Diseases Using T2 MRI Brain Images and CNN Binary Classifier and DWT

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A Novel Interpretable Computer-Aided Diagnosis System of Thyroid Nodules on Ultrasound Based on Clinical Experience

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Enhancing Automated COVID-19 Chest X-ray Diagnosis by Image-to-Image GAN Translation

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Deep Learning on Brain Cortical Thickness Data for Disease Classification

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Bi-Rads-Net: An Explainable Multitask Learning Approach for Cancer Diagnosis in Breast Ultrasound Images

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Survey on Recent Trends in Medical Image Classification Using Semi-Supervised Learning

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COVID-19 Hierarchical Classification Using a Deep Learning Multi-Modal

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An End-to-End 3D ConvLSTM-based Framework for Early Diagnosis of Alzheimer's Disease from Full-Resolution Whole-Brain sMRI Scans

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Deep Learning Prediction of Voxel-Level Liver Stiffness in Patients with Nonalcoholic Fatty Liver Disease

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Deep Convolutional Neural Networks for Automated Diagnosis of Disc Herniation on Axial MRI

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A Review Study of the Deep Learning Techniques used for the Classification of Chest Radiological Images for COVID-19 Diagnosis

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GradXcepUNet: Explainable AI Based Medical Image Segmentation

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survey on automated medical image classification using deep learning

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A Hybrid VDV Model for Automatic Diagnosis of Pneumothorax Using Class-Imbalanced Chest X-Rays Dataset

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Codeless Deep Learning of COVID-19 Chest X-Ray Image Dataset with KNIME Analytics Platform

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COVID-19 identification in chest X-ray images using intelligent multi-level classification scenario

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USC-ENet: a high-efficiency model for the diagnosis of liver tumors combining B-mode ultrasound and clinical data

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DuaLAnet: Dual Lesion Attention Network for Thoracic Disease Classification in Chest X-Rays

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KGZNet:Knowledge-Guided Deep Zoom Neural Networks for Thoracic Disease Classification

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Automated COVID-19 diagnosis and prognosis with medical imaging and who is publishing: a systematic review

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Evaluation of Hepatic Fibrosis Using Ultrasound Backscattered Radiofrequency Signals and One-Dimensional Convolutional Neural Networks

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Automated Classification Using End-to-End Deep Learning

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Fet-Net Algorithm for Automatic Detection of Fetal Orientation in Fetal MRI

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DeepCOVIDNet: Deep Convolutional Neural Network for COVID-19 Detection from Chest Radiographic Images

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Machine Learning and Deep Learning in Cardiothoracic Imaging: A Scoping Review

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Performance Analysis of Convolutional Neural Network Architectures for the Identification of COVID-19 from Chest X-ray Images

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Medical Image Denosing via Explainable AI Feature Preserving LossPreprint

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Machine Learning in Maternity: Early Diagnosis of Placenta Accreta Spectrum

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Deep Learning based Medical Imaging Analysis

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An Introduction to Deep Learning Applications In MRI Images

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MO‐G‐9A‐01: Imaging Refresher for Standard of Care Radiation Therapy

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Most residency programs for radiation oncology physicists do not reflect the heightened importance of medical imaging

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