Deep learning-based risk stratification for HER2-negative breast cancer patients
Deep learning-based risk stratification for HER2-negative breast cancer patients
About this item
Full title
Author / Creator
Publisher
Cold Spring Harbor: Cold Spring Harbor Laboratory Press
Journal title
Language
English
Formats
Publication information
Publisher
Cold Spring Harbor: Cold Spring Harbor Laboratory Press
Subjects
More information
Scope and Contents
Contents
In this paper, we present our analysis of the tumor microenvironment in digital pathology images to stratify risk in HER2-negative breast cancer patients using clinicopathological, spatial image, and cell-based features in a Cox's proportional hazard model. We start the analysis by processing a set of 304 training pathology images using our in-hous...
Alternative Titles
Full title
Deep learning-based risk stratification for HER2-negative breast cancer patients
Authors, Artists and Contributors
Author / Creator
Identifiers
Primary Identifiers
Record Identifier
TN_cdi_proquest_journals_2533059822
Permalink
https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_proquest_journals_2533059822
Other Identifiers
E-ISSN
2692-8205
DOI
10.1101/2021.05.26.445720
How to access this item
https://www.proquest.com/docview/2533059822?pq-origsite=primo&accountid=13902
