Deep Learning–Based Histopathologic Assessment of Kidney Tissue

Whole-Slide Mitosis Detection in H&E Breast Histology Using PHH3 as a Reference to Train Distilled Stain-Invariant Convolutional Networks

(2018) David Tellez et al.   IEEE TRANSACTIONS ON MEDICAL IMAGING

Region-Based Convolutional Neural Nets for Localization of Glomeruli in Trichrome-Stained Whole Kidney Sections

(2018) John D. Bukowy et al.   JOURNAL OF THE AMERICAN SOCIETY OF NEPHROLOGY

A 2018 Reference Guide to the Banff Classification of Renal Allograft Pathology

(2018) Candice Roufosse et al.   TRANSPLANTATION

CNN cascades for segmenting sparse objects in gigapixel whole slide images

(2018) Michael Gadermayr et al.   COMPUTERIZED MEDICAL IMAGING AND GRAPHICS

A survey on deep learning in medical image analysis

(2017) Geert Litjens et al.   MEDICAL IMAGE ANALYSIS

The Banff 2015 Kidney Meeting Report: Current Challenges in Rejection Classification and Prospects for Adopting Molecular Pathology

(2016) A. Loupy et al.   AMERICAN JOURNAL OF TRANSPLANTATION

The Substantial Loss of Nephrons in Healthy Human Kidneys with Aging

(2016) Aleksandar Denic et al.   JOURNAL OF THE AMERICAN SOCIETY OF NEPHROLOGY

The Accuracy and Reliability of Crowdsource Annotations of Digital Retinal Images

(2016) Danny Mitry et al.   Translational Vision Science & Technology

Deep learning as a tool for increased accuracy and efficiency of histopathological diagnosis

(2016) Geert Litjens et al.   Scientific Reports

Segmental HOG: new descriptor for glomerulus detection in kidney microscopy image

(2015) Tsuyoshi Kato et al.   BMC BIOINFORMATICS

Digital Pathology Evaluation in the Multicenter Nephrotic Syndrome Study Network (NEPTUNE)

(2013) L. Barisoni et al.   Clinical Journal of the American Society of Nephrology

Interstitial Fibrosis Evolution on Early Sequential Screening Renal Allograft Biopsies Using Quantitative Image Analysis

(2011) A. Servais et al.   AMERICAN JOURNAL OF TRANSPLANTATION

On the concept of objectivity in digital image analysis in pathology

(2010) Paul J. Tadrous   PATHOLOGY