DBLCNN: Dependency-based lightweight convolutional neural network for multi-classification of breast histopathology images

Going deeper: magnification‐invariant approach for breast cancer classification using histopathological images

(2021) S. Alkassar et al.   IET Computer Vision

Fully convolutional attention network for biomedical image segmentation

(2020) Junlong Cheng et al.   ARTIFICIAL INTELLIGENCE IN MEDICINE

A deep learning algorithm using contrast-enhanced computed tomography (CT) images for segmentation and rapid automatic detection of aortic dissection

(2020) Junlong Cheng et al.   Biomedical Signal Processing and Control

Fine-Grained Breast Cancer Classification With Bilinear Convolutional Neural Networks (BCNNs)

(2020) Weihuang Liu et al.   Frontiers in Genetics

A new transfer learning based approach to magnification dependent and independent classification of breast cancer in histopathological images

(2020) Said Boumaraf et al.   Biomedical Signal Processing and Control

Automatic classification of breast cancer histopathological images based on deep feature fusion and enhanced routing

(2020) Pin Wang et al.   Biomedical Signal Processing and Control

A Novel Deep Learning based Framework for the Detection and Classification of Breast Cancer Using Transfer Learning

(2019) SanaUllah Khan et al.   PATTERN RECOGNITION LETTERS

Breast Cancer Classification from Histopathological Images with Inception Recurrent Residual Convolutional Neural Network

(2019) Md Zahangir Alom et al.   JOURNAL OF DIGITAL IMAGING

Predicting breast tumor proliferation from whole-slide images: The TUPAC16 challenge

(2019) Mitko Veta et al.   MEDICAL IMAGE ANALYSIS

EMS-Net: Ensemble of Multiscale Convolutional Neural Networks for Classification of Breast Cancer Histology Images

(2019) Zhanbo Yang et al.   NEUROCOMPUTING

Effect of layer-wise fine-tuning in magnification-dependent classification of breast cancer histopathological image

(2019) Shallu Sharma et al.   VISUAL COMPUTER

MuDeRN: Multi-category classification of breast histopathological image using deep residual networks

(2018) Ziba Gandomkar et al.   ARTIFICIAL INTELLIGENCE IN MEDICINE

1399 H&E-stained sentinel lymph node sections of breast cancer patients: the CAMELYON dataset

(2018) Geert Litjens et al.   GigaScience

Classification of Breast Cancer Based on Histology Images Using Convolutional Neural Networks

(2018) Dalal Bardou et al.   IEEE Access

Patch-based system for Classification of Breast Histology images using deep learning

(2018) Kaushiki Roy et al.   COMPUTERIZED MEDICAL IMAGING AND GRAPHICS

Multi-task deep learning for fine-grained classification and grading in breast cancer histopathological images

(2018) Lingqiao Li et al.   MULTIMEDIA TOOLS AND APPLICATIONS

Multiple instance learning for histopathological breast cancer image classification

(2018) P.J. Sudharshan et al.   EXPERT SYSTEMS WITH APPLICATIONS

Diagnostic Assessment of Deep Learning Algorithms for Detection of Lymph Node Metastases in Women With Breast Cancer

(2017) Babak Ehteshami Bejnordi et al.   JAMA-JOURNAL OF THE AMERICAN MEDICAL ASSOCIATION

Histopathology is ripe for automation

(2017)   Nature Biomedical Engineering

Grading of invasive breast carcinoma through Grassmannian VLAD encoding

(2017) Kosmas Dimitropoulos et al.   PLoS One

Breast Cancer Multi-classification from Histopathological Images with Structured Deep Learning Model

(2017) Zhongyi Han et al.   Scientific Reports

A Dataset for Breast Cancer Histopathological Image Classification

(2016) Fabio A. Spanhol et al.   IEEE TRANSACTIONS ON BIOMEDICAL ENGINEERING

Automatic prediction of tumour malignancy in breast cancer with fractal dimension

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