Deep learning for digital pathology image analysis: A comprehensive tutorial with selected use cases

20161,295 citationsJournal Articlegold Open Access

Authors

Andrew Janowczyk · Case Western Reserve University

Anant Madabhushi · Case Western Reserve University

Abstract

This paper represents the largest comprehensive study of DL approaches in DP to date, with over 1200 DP images used during evaluation. The supplemental online material that accompanies this paper consists of step-by-step instructions for the usage of the supplied source code, trained models, and input data.

Topics & Keywords

AI in cancer detection Digital Imaging for Blood Diseases Radiomics and Machine Learning in Medical Imaging

UN Sustainable Development Goals

Reduced inequalities

Publication Details

Published in: Journal of Pathology Informatics

Volume 7, Issue 1, pp. 29-29

DOI: 10.4103/2153-3539.186902

Field-Weighted Citation Impact: 141.87