Deep Multi-Magnification Networks for multi-class breast cancer image segmentation

Clinical-grade computational pathology using weakly supervised deep learning on whole slide images

(2019) Gabriele Campanella et al.   NATURE MEDICINE

Using deep convolutional neural networks to identify and classify tumor-associated stroma in diagnostic breast biopsies

(2018) Babak Ehteshami Bejnordi et al.   MODERN PATHOLOGY

Digital image analysis in breast pathology—from image processing techniques to artificial intelligence

(2018) Stephanie Robertson et al.   Translational Research

From detection of individual metastases to classification of lymph node status at the patient level: the CAMELYON17 challenge

(2018) Peter Bandi et al.   IEEE TRANSACTIONS ON MEDICAL IMAGING

A systematic study of the class imbalance problem in convolutional neural networks

(2018) Mateusz Buda et al.   NEURAL NETWORKS

SegNet: A Deep Convolutional Encoder-Decoder Architecture for Image Segmentation

(2017) Vijay Badrinarayanan et al.   IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE

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

A survey on deep learning in medical image analysis

(2017) Geert Litjens et al.   MEDICAL IMAGE ANALYSIS

Accurate and reproducible invasive breast cancer detection in whole-slide images: A Deep Learning approach for quantifying tumor extent

(2017) Angel Cruz-Roa et al.   Scientific Reports

Deep learning

(2015) Yann LeCun et al.   NATURE

Breast Cancer Histopathology Image Analysis: A Review

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

Impact of Margin Assessment Method on Positive Margin Rate and Total Volume Excised

(2013) Tracy-Ann Moo et al.   ANNALS OF SURGICAL ONCOLOGY

An Integrated Region-, Boundary-, Shape-Based Active Contour for Multiple Object Overlap Resolution in Histological Imagery

(2012) S. Ali et al.   IEEE TRANSACTIONS ON MEDICAL IMAGING

Computational pathology: Challenges and promises for tissue analysis

(2011) Thomas J. Fuchs et al.   COMPUTERIZED MEDICAL IMAGING AND GRAPHICS