Computational pathology in renal disease: a comprehensive perspective

TL;DR

This paper provides a comprehensive overview of computational pathology's applications in nephrology, discussing image production, computer vision models, clinical applications, data protection, and interpretability.

Contribution

It offers a detailed synthesis of current computational pathology techniques and challenges specific to renal disease diagnosis and research.

Findings

Overview of image production methods in renal pathology

Analysis of computer vision applications in nephrology

Discussion on data protection and interpretability issues

Abstract

Computational pathology is a field that has complemented various subspecialties of diagnostic pathology over the last few years. In this article a brief analyzis the different applications in nephrology is developed. To begin, an overview of the different forms of image production is provided. To continue, the most frequent applications of computer vision models, the salient features of the different clinical applications, and the data protection considerations encountered are described. To finish the development, I delve into the interpretability of these applications, expanding in depth on the three dimensions of this area.