Semi-supervised training of deep convolutional neural networks with heterogeneous data and few local annotations: An experiment on prostate histopathology image classification

Combining weakly and strongly supervised learning improves strong supervision in Gleason pattern classification

(2021) Sebastian Otálora et al.   BMC MEDICAL IMAGING

Deep-learning approaches for Gleason grading of prostate biopsies

(2020) Anant Madabhushi et al.   LANCET ONCOLOGY

Automated deep-learning system for Gleason grading of prostate cancer using biopsies: a diagnostic study

(2020) Wouter Bulten et al.   LANCET ONCOLOGY

Not-so-supervised: a survey of semi-supervised, multi-instance, and transfer learning in medical image analysis

(2019) Veronika Cheplygina et al.   MEDICAL IMAGE ANALYSIS

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

(2019) Gabriele Campanella et al.   NATURE MEDICINE

Staining Invariant Features for Improving Generalization of Deep Convolutional Neural Networks in Computational Pathology

(2019) Sebastian Otálora et al.   Frontiers in Bioengineering and Biotechnology

Quantifying the effects of data augmentation and stain color normalization in convolutional neural networks for computational pathology

(2019) David Tellez et al.   MEDICAL IMAGE ANALYSIS

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

(2018) Geert Litjens et al.   GigaScience

Machine Learning Methods for Histopathological Image Analysis

(2018) Daisuke Komura et al.   Computational and Structural Biotechnology Journal

Automated Gleason grading of prostate cancer tissue microarrays via deep learning

(2018) Eirini Arvaniti et al.   Scientific Reports

A survey on deep learning in medical image analysis

(2017) Geert Litjens et al.   MEDICAL IMAGE ANALYSIS

Ten quick tips for machine learning in computational biology

(2017) Davide Chicco   BioData Mining

Convolutional Neural Networks for Medical Image Analysis: Full Training or Fine Tuning?

(2016) Nima Tajbakhsh et al.   IEEE TRANSACTIONS ON MEDICAL IMAGING

The 2014 International Society of Urological Pathology (ISUP) Consensus Conference on Gleason Grading of Prostatic Carcinoma

(2015) Jonathan I. Epstein et al.   AMERICAN JOURNAL OF SURGICAL PATHOLOGY

Prostate cancer screening in men aged 50–69 years (STHLM3): a prospective population-based diagnostic study

(2015) Henrik Grönberg et al.   LANCET ONCOLOGY

Prognostic Gleason grade grouping: data based on the modified Gleason scoring system

(2013) Phillip M. Pierorazio et al.   BJU INTERNATIONAL

Prostate needle biopsies: interobserver variation and clinical consequences of histopathological re-evaluation

(2011) KASPER DRIMER BERG et al.   APMIS