Classification of Hematoxylin and Eosin-Stained Breast Cancer Histology Microscopy Images Using Transfer Learning with EfficientNets

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

Methods Used in Computer-Aided Diagnosis for Breast Cancer Detection Using Mammograms: A Review

(2020) Saleem Z. Ramadan   Journal of Healthcare Engineering

How Deeply to Fine-Tune a Convolutional Neural Network: A Case Study Using a Histopathology Dataset

(2020) Ibrahem Kandel et al.   Applied Sciences-Basel

Automatic segmentation of whole-slide H&E stained breast histopathology images using a deep convolutional neural network architecture

(2020) Blanca Maria Priego-Torres et al.   EXPERT SYSTEMS WITH APPLICATIONS

Classification of breast cancer histology images using incremental boosting convolution networks

(2019) Duc My Vo et al.   INFORMATION SCIENCES

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

(2019) Awwal Muhammad Dawud et al.   Computational Intelligence and Neuroscience

BACH: Grand challenge on breast cancer histology images

(2019) Guilherme Aresta et al.   MEDICAL IMAGE ANALYSIS

Breast Cancer Diagnosis in Digital Breast Tomosynthesis: Effects of Training Sample Size on Multi-Stage Transfer Learning using Deep Neural Nets

(2018) Ravi K. Samala et al.   IEEE TRANSACTIONS ON MEDICAL IMAGING

Classification of breast cancer histology images using Convolutional Neural Networks

(2017) Teresa Araújo et al.   PLoS One

Emerging Themes in Image Informatics and Molecular Analysis for Digital Pathology

(2016) Rohit Bhargava et al.   Annual Review of Biomedical Engineering

Automatic prediction of tumour malignancy in breast cancer with fractal dimension

(2016) Alan Chan et al.   Royal Society Open Science

Cancer statistics, 2015

(2015) Rebecca L. Siegel et al.   CA-A CANCER JOURNAL FOR CLINICIANS

Diagnostic Concordance Among Pathologists Interpreting Breast Biopsy Specimens

(2015) Joann G. Elmore et al.   JAMA-JOURNAL OF THE AMERICAN MEDICAL ASSOCIATION

Breast Cancer Histopathology Image Analysis: A Review

(2014) Mitko Veta et al.   IEEE TRANSACTIONS ON BIOMEDICAL ENGINEERING