Back to search

Article

PathProfiler: Automated Quality Assessment of Retrospective Histopathology Whole-Slide Image Cohorts by Artificial Intelligence – A Case Study for Prostate Cancer Research

2021-09-27

Abstract excerpt

<h4>ABSTRACT</h4> Research using whole slide images (WSIs) of scanned histopathology slides for the development of artificial intelligence (AI) algorithms has increased exponentially over recent years. Glass slides from large retrospective cohorts with patient follow-up data are digitised for the development and validation of AI tools. Such resources, therefore, become very important, with the need to ensure that...

Topics

Open a Topic to create a Post that cites this publication.

Identifiers and source

Literature Corpus work
792de668-4f54-5d98-82df-71133077deb1
DOI
10.1101/2021.09.24.21263762
Open publication

Related research

Semantic proximity does not establish scientific evidence.

Click a neighbor to travelStep 1 · 12 closest
Interactive article relationship graphSelect a related publication card to move it into the centre and load its closest explainable connections. Solid lines are source-backed structured connections. Dashed lines are semantic discovery signals and are not scientific evidence.
PathProfiler: Automated Quality Assessment of Retrospective Histopathology Whole-Slide Image Cohorts by Artificial Intelligence – A Case Study for Prostate Cancer ResearchDOI 10.1101/2021.09.24.21263762
Select a neighboring publication to make it the new centre.