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

Deep Residual Learning for Image Recognition

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Densely Connected Convolutional Networks

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Going deeper with convolutions

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

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ImageNet Large Scale Visual Recognition Challenge

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Scoping studies: towards a methodological framework

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Untitled work

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Rethinking the Inception Architecture for Computer Vision

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Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift

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Grad-CAM: Visual Explanations from Deep Networks via Gradient-Based Localization

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Generative Adversarial Nets

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Xception: Deep Learning with Depthwise Separable Convolutions

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GAN（Generative Adversarial Nets）

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Deep learning in neural networks: an overview

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Visualizing and understanding convolutional networks

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Mastering the game of Go with deep neural networks and tree search

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A survey on deep learning in medical image analysis

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Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate ShiftPreprint

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A survey on Image Data Augmentation for Deep Learning

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Learning Deep Features for Discriminative Localization

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Caffe: Convolutional Architecture for Fast Feature Embedding

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Two-Stream Convolutional Networks for Action Recognition in Videos

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Deep convolutional neural networks for computer-aided detection: cnn architectures, dataset characteristics and transfer learning

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Neocognitron: A self-organizing neural network model for a mechanism of pattern recognition unaffected by shift in position

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Identifying Medical Diagnoses and Treatable Diseases by Image-Based Deep Learning

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Caffe: Convolutional Architecture for Fast Feature EmbeddingPreprint

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Inception-v4, Inception-ResNet and the Impact of Residual Connections on Learning

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A survey of the recent architectures of deep convolutional neural networks

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Searching for activation functions

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Deconvolutional networks

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Deep Convolutional Neural Networks and Data Augmentation for Environmental Sound Classification

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Brain tumor classification using deep CNN features via transfer learning

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Adaptive deconvolutional networks for mid and high level feature learning

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Detection and diagnosis of dental caries using a deep learning-based convolutional neural network algorithm

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Digital mammographic tumor classification using transfer learning from deep convolutional neural networks

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Deep Learning and Medical Diagnosis: A Review of Literature

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Diagnosis and prediction of periodontally compromised teeth using a deep learning-based convolutional neural network algorithm

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Artificial intelligence in fracture detection: transfer learning from deep convolutional neural networks

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Pneumonia Detection Using CNN based Feature Extraction

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Breast cancer detection using deep convolutional neural networks and support vector machines

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Thyroid nodule classification in ultrasound images by fine-tuning deep convolutional neural network

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Classification of skin lesions using transfer learning and augmentation with Alex-net

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Skin Lesion Classification from Dermoscopic Images Using Deep Learning Techniques

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Application of convolutional neural network in the diagnosis of the invasion depth of gastric cancer based on conventional endoscopy

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Performance of Deep Learning Architectures and Transfer Learning for Detecting Glaucomatous Optic Neuropathy in Fundus Photographs

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Glioma Grading on Conventional MR Images: A Deep Learning Study With Transfer Learning

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Transfer learning with deep convolutional neural network for liver steatosis assessment in ultrasound images

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Convolutional neural networks for multi-class brain disease detection using MRI images

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Multi-categorical deep learning neural network to classify retinal images: A pilot study employing small database

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Conventional Machine Learning and Deep Learning Approach for Multi-Classification of Breast Cancer Histopathology Images—a Comparative Insight

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How much data is needed to train a medical image deep learning system to achieve necessary high accuracy?

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Automatic glaucoma classification using color fundus images based on convolutional neural networks and transfer learning

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How convolutional neural networks see the world --- A survey of convolutional neural network visualization methods

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A comparative study of deep learning architectures on melanoma detection

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Transfer learning with convolutional neural networks for classification of abdominal ultrasound images

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Breast mass classification in sonography with transfer learning using a deep convolutional neural network and color conversion

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Content-based brain tumor retrieval for MR images using transfer learning

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Diagnosis of cystic lesions using panoramic and cone beam computed tomographic images based on deep learning neural network

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Automation of the kidney function prediction and classification through ultrasound-based kidney imaging using deep learning

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Automated Skeletal Classification with Lateral Cephalometry Based on Artificial Intelligence

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Convolutional neural network for the diagnosis of early gastric cancer based on magnifying narrow band imaging

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Residual convolutional neural network for predicting response of transarterial chemoembolization in hepatocellular carcinoma from CT imaging

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Transfer Learning Assisted Classification and Detection of Alzheimer’s Disease Stages Using 3D MRI Scans

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Application of Convolutional Neural Network in the Diagnosis of Jaw Tumors

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Fully automated detection of retinal disorders by image-based deep learning

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Assessment of Convolutional Neural Networks for Automated Classification of Chest Radiographs

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Convolutional neural networks based transfer learning for diabetic retinopathy fundus image classification

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Glaucoma Diagnosis with Machine Learning Based on Optical Coherence Tomography and Color Fundus Images

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Residual Deep Convolutional Neural Network Predicts MGMT Methylation Status

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Classification of dental diseases using CNN and transfer learning

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Evaluation of Transfer Learning with Deep Convolutional Neural Networks for Screening Osteoporosis in Dental Panoramic Radiographs

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Transfer Learning With Intelligent Training Data Selection for Prediction of Alzheimer’s Disease

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An experimental study on breast lesion detection and classification from ultrasound images using deep learning architectures

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Distinction between benign and malignant breast masses at breast ultrasound using deep learning method with convolutional neural network

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Deep Learning-Based Automated Classification of Multi-Categorical Abnormalities From Optical Coherence Tomography Images

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Computer-aided diagnosis of lung nodule classification between benign nodule, primary lung cancer, and metastatic lung cancer at different image size using deep convolutional neural network with transfer learning

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Transfer Learning with Deep Convolutional Neural Networks for Classifying Cellular Morphological Changes

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Deep learning for identifying radiogenomic associations in breast cancer

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Comparison of Transferred Deep Neural Networks in Ultrasonic Breast Masses Discrimination

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A Data Augmentation-Based Framework to Handle Class Imbalance Problem for Alzheimer’s Stage Detection

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Lung Nodule Classification via Deep Transfer Learning in CT Lung Images

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Automatic Detection of Diabetic Retinopathy in Retinal Fundus Photographs Based on Deep Learning Algorithm

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Application of Deep Learning in Neuroradiology: Brain Haemorrhage Classification Using Transfer Learning

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Alcoholism Identification Based on an AlexNet Transfer Learning Model

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High-Throughput Classification of Radiographs Using Deep Convolutional Neural Networks

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On the Impact of Data Set Size in Transfer Learning Using Deep Neural Networks

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Prostate cancer classification with multiparametric MRI transfer learning model

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Classification of Whole Mammogram and Tomosynthesis Images Using Deep Convolutional Neural Networks

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Acral melanoma detection using a convolutional neural network for dermoscopy images

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Promoting Trust Between Patients and Physicians in the Era of Artificial Intelligence

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Deep learning modeling using normal mammograms for predicting breast cancer risk

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Application of deep learning to the diagnosis of cervical lymph node metastasis from thyroid cancer with CT

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Transfer learning radiomics based on multimodal ultrasound imaging for staging liver fibrosis

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Beyond Human Perception: Sexual Dimorphism in Hand and Wrist Radiographs Is Discernible by a Deep Learning Model

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Deep Feature Learning from a Hospital-Scale Chest X-ray Dataset with Application to TB Detection on a Small-Scale Dataset

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Automatic Cataract Diagnosis by Image-Based Interpretability

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Automatic Bone Age Assessment Combined with Transfer Learning and Support Vector Regression

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Transfer Learning in Breast Cancer Diagnoses via Ultrasound Imaging

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A Novel Multistage Transfer Learning for Ultrasound Breast Cancer Image Classification

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Investigating the Impact of Train / Test Split Ratio on the Performance of Pre-Trained Models with Custom Datasets

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DTL-IDS: An optimized Intrusion Detection Framework using Deep Transfer Learning and Genetic Algorithm

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Medical Image Classification Utilizing Ensemble Learning and Levy Flight-Based Honey Badger Algorithm on 6G-Enabled Internet of Things

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Comparing the performance of a deep convolutional neural network with orthopedic surgeons on the identification of total hip prosthesis design from plain radiographs

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ResNet-34/DR: A Residual Convolutional Neural Network for the Diagnosis of Diabetic Retinopathy

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Multi-class Breast Cancer Classification Using CNN Features Hybridization

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An Alzheimer’s disease classification model using transfer learning Densenet with embedded healthcare decision support system

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Developing an AI-based application for caries index detection on intraoral photographs

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Weed Identification in Maize Fields Based on Improved Swin-Unet

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A Multistage Transfer Learning Approach for Acute Lymphoblastic Leukemia Classification

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Review of AlexNet for Medical Image Classification

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Deep Learning and Habitat Radiomics for the Prediction of Glioma Pathology Using Multiparametric MRI: A Multicenter Study

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Analysing wideband absorbance immittance in normal and ears with otitis media with effusion using machine learning

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Comparison of Different Convolutional Neural Network Activation Functions and Methods for Building Ensembles for Small to Midsize Medical Data Sets

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Novel Hybrid Quantum Architecture-Based Lung Cancer Detection Using Chest Radiograph and Computerized Tomography Images

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Artificial intelligence performance in testing microfluidics for point-of-care

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Explainable deep learning identifies patterns and drivers of freshwater harmful algal blooms

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Federated and transfer learning for cancer detection based on image analysis

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A Transfer Learning-Based Method to Detect Insulator Faults of High-Voltage Transmission Lines via Aerial Images: Distinguishing Intact and Broken Insulator Images

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Self-supervised Pretraining for 2D Medical Image Segmentation

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Machine learning in the identification of prognostic DNA methylation biomarkers among patients with cancer: A systematic review of epigenome-wide studies

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Deep learning-based CNN for multiclassification of ocular diseases using transfer learning

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Improved performance and robustness of multi-task representation learning with consistency loss between pretexts for intracranial hemorrhage identification in head CT

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Multiparametric MRI

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Medical image foundation models in assisting diagnosis of brain tumors: a pilot study

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A Hybrid LECNN Architecture: A Computer-Assisted Early Diagnosis System for Lung Cancer Using CT Images

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CovNet: A Transfer Learning Framework for Automatic COVID-19 Detection From Crowd-Sourced Cough Sounds

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Skin Disease Analysis With Limited Data in Particular Rosacea: A Review and Recommended Framework

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An Artificial Intelligence Training Workshop for Diagnostic Radiology Residents

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Transfer learning for medical image classification: a literature review

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Transfer learning techniques for medical image analysis: A review

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A review of transfer learning for medical image classificationPreprint

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A Review of Deep Learning on Medical Image Analysis

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A Review of Transfer Learning for Medical Image Analysis

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