Related references
Note: Only part of the references are listed.Reducing annotation effort in digital pathology: A Co-Representation learning framework for classification tasks
Pushpak Pati et al.
MEDICAL IMAGE ANALYSIS (2021)
Breast cancer histopathological image classification using a hybrid deep neural network
Rui Yan et al.
METHODS (2020)
Resolving challenges in deep learning-based analyses of histopathological images using explanation methods
Miriam Hagele et al.
SCIENTIFIC REPORTS (2020)
Context-Aware Convolutional Neural Network for Grading of Colorectal Cancer Histology Images
Muhammad Shaban et al.
IEEE TRANSACTIONS ON MEDICAL IMAGING (2020)
Deep learning in digital pathology image analysis: a survey
Shujian Deng et al.
FRONTIERS OF MEDICINE (2020)
Cellular community detection for tissue phenotyping in colorectal cancer histology images
Sajid Javed et al.
MEDICAL IMAGE ANALYSIS (2020)
MILD-Net: Minimal information loss dilated network for gland instance segmentation in colon histology images
Simon Graham et al.
MEDICAL IMAGE ANALYSIS (2019)
BACH: Grand challenge on breast cancer histology images
Guilherme Aresta et al.
MEDICAL IMAGE ANALYSIS (2019)
Patch-based system for Classification of Breast Histology images using deep learning
Kaushiki Roy et al.
COMPUTERIZED MEDICAL IMAGING AND GRAPHICS (2019)
Hover-Net: Simultaneous segmentation and classification of nuclei in multi-tissue histology images
Simon Graham et al.
MEDICAL IMAGE ANALYSIS (2019)
Quantifying the effects of data augmentation and stain color normalization in convolutional neural networks for computational pathology
David Tellez et al.
MEDICAL IMAGE ANALYSIS (2019)
Multi-Organ Gland Segmentation Using Deep Learning
Thomas Binder et al.
FRONTIERS IN MEDICINE (2019)
Classification of Breast Cancer Based on Histology Images Using Convolutional Neural Networks
Dalal Bardou et al.
IEEE ACCESS (2018)
Machine Learning Methods for Histopathological Image Analysis
Daisuke Komura et al.
COMPUTATIONAL AND STRUCTURAL BIOTECHNOLOGY JOURNAL (2018)
Whole Slide Imaging Versus Microscopy for Primary Diagnosis in Surgical Pathology A Multicenter Blinded Randomized Noninferiority Study of 1992 Cases (Pivotal Study)
Sanjay Mukhopadhyay et al.
AMERICAN JOURNAL OF SURGICAL PATHOLOGY (2018)
A Dataset and a Technique for Generalized Nuclear Segmentation for Computational Pathology
Neeraj Kumar et al.
IEEE TRANSACTIONS ON MEDICAL IMAGING (2017)
A survey on deep learning in medical image analysis
Geert Litjens et al.
MEDICAL IMAGE ANALYSIS (2017)
Image analysis and machine learning in digital pathology: Challenges and opportunities
Anant Madabhushi et al.
MEDICAL IMAGE ANALYSIS (2016)
Diagnostic Concordance Among Pathologists Interpreting Breast Biopsy Specimens (vol 313, pg 1122, 2015)
Joann G. Elmore et al.
JAMA-JOURNAL OF THE AMERICAN MEDICAL ASSOCIATION (2015)
Global surveillance of cancer survival 1995-2009: analysis of individual data for 25 676 887 patients from 279 population-based registries in 67 countries (CONCORD-2)
Claudia Allemani et al.
LANCET (2015)
Diagnostic Concordance Among Pathologists interpreting Breast Biopsy Specimens
Joann G. Elmore et al.
JAMA-JOURNAL OF THE AMERICAN MEDICAL ASSOCIATION (2015)
Breast Cancer Histopathology Image Analysis: A Review
Mitko Veta et al.
IEEE TRANSACTIONS ON BIOMEDICAL ENGINEERING (2014)
SLIC Superpixels Compared to State-of-the-Art Superpixel Methods
Radhakrishna Achanta et al.
IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE (2012)
The cell graphs of cancer
Cigdem Gunduz et al.
BIOINFORMATICS (2004)