Towards a Better Understanding of Transfer Learning for Medical Imaging: A Case Study

Deep Learning Models for Classification of Red Blood Cells in Microscopy Images to Aid in Sickle Cell Anemia Diagnosis

(2020) Laith Alzubaidi et al.   Electronics

Optimizing the Performance of Breast Cancer Classification by Employing the Same Domain Transfer Learning from Hybrid Deep Convolutional Neural Network Model

(2020) Laith Alzubaidi et al.   Electronics

A Transfer Learning Method for Pneumonia Classification and Visualization

(2020) Juan Eduardo Luján-García et al.   Applied Sciences-Basel

Computer-Aided Diagnosis of Skin Diseases Using Deep Neural Networks

(2020) Muhammad Naseer Bajwa et al.   Applied Sciences-Basel

DFU_QUTNet: diabetic foot ulcer classification using novel deep convolutional neural network

(2019) Laith Alzubaidi et al.   MULTIMEDIA TOOLS AND APPLICATIONS

Deep Convolutional Network Based on Pyramid Architecture

(2018) Enhui Lv et al.   IEEE Access

Area Determination of Diabetic Foot Ulcer Images Using a Cascaded Two-Stage SVM-Based Classification

(2017) Lei Wang et al.   IEEE TRANSACTIONS ON BIOMEDICAL ENGINEERING

Image recognition with deep neural networks in presence of noise – Dealing with and taking advantage of distortions

(2017) Michał Koziarski et al.   INTEGRATED COMPUTER-AIDED ENGINEERING

Deep Convolutional Neural Networks for Image Classification: A Comprehensive Review

(2017) Waseem Rawat et al.   NEURAL COMPUTATION

Deep Convolutional Neural Networks for Computer-Aided Detection: CNN Architectures, Dataset Characteristics and Transfer Learning

(2016) Hoo-Chang Shin et al.   IEEE TRANSACTIONS ON MEDICAL IMAGING

Region-Based Convolutional Networks for Accurate Object Detection and Segmentation

(2016) Ross Girshick et al.   IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE

Object Tracking Benchmark

(2015) Yi Wu et al.   IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE

Automatic detection of diabetic foot complications with infrared thermography by asymmetric analysis

(2015) Chanjuan Liu et al.   JOURNAL OF BIOMEDICAL OPTICS

Deep learning

(2015) Yann LeCun et al.   NATURE

Diagnostic Values for Skin Temperature Assessment to Detect Diabetes-Related Foot Complications

(2014) Jaap J. van Netten et al.   Diabetes Technology & Therapeutics

3D Traffic Scene Understanding From Movable Platforms

(2013) Andreas Geiger et al.   IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE

Diabetic foot ulcers

(2013) Afsaneh Alavi et al.   JOURNAL OF THE AMERICAN ACADEMY OF DERMATOLOGY

Transfer learning for activity recognition: a survey

(2013) Diane Cook et al.   KNOWLEDGE AND INFORMATION SYSTEMS

Transfer learning for pedestrian detection

(2012) Xianbin Cao et al.   NEUROCOMPUTING

IDF Diabetes Atlas: Global estimates of the prevalence of diabetes for 2011 and 2030

(2011) David R. Whiting et al.   DIABETES RESEARCH AND CLINICAL PRACTICE

Enhanced Assessment of the Wound-Healing Process by Accurate Multiview Tissue Classification

(2010) H Wannous et al.   IEEE TRANSACTIONS ON MEDICAL IMAGING

Global estimates of the prevalence of diabetes for 2010 and 2030

(2009) J.E. Shaw et al.   DIABETES RESEARCH AND CLINICAL PRACTICE

Binary Tissue Classification on Wound Images With Neural Networks and Bayesian Classifiers

(2009) F. Veredas et al.   IEEE TRANSACTIONS ON MEDICAL IMAGING

Epidemiology of diabetic foot problems and predictive factors for limb loss

(2008) Aziz Nather et al.   JOURNAL OF DIABETES AND ITS COMPLICATIONS

Épidémiologie du pied diabétique

(2008) J.-L. Richard et al.   REVUE DE MEDECINE INTERNE