Back to search

Article

Integrative Analysis of Histological Textures and Lymphocyte Infiltration in Renal Cell Carcinoma using Deep Learning

2022-08-15

Abstract excerpt

<h4>ABSTRACT</h4> Evaluating tissue architecture from routine hematoxylin and eosin-stained (H&E) slides is prone to subjectivity and sampling bias. Here, we extensively annotated ∼40,000 images of five tissue texture types and ∼25,000 images of lymphocyte quantity to train deep learning models. We defined histopathological patterns in over 400 clear-cell renal cell carcinoma H&E-stained slides of The Cancer Geno...

Topics

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

Identifiers and source

Literature Corpus work
e6773299-0402-5095-b41b-db0b5a85f6f1
DOI
10.1101/2022.08.15.503955
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.
Integrative Analysis of Histological Textures and Lymphocyte Infiltration in Renal Cell Carcinoma using Deep LearningDOI 10.1101/2022.08.15.503955
Select a neighboring publication to make it the new centre.