Deep-Learning Solution Providing Molecular Marker Subtyping of Breast Cancer Whole Slide Images: Protocol for a UK Clinical Service Evaluation Study
Elizabeth Walsh, Dildar Rathore, André Geraldes, Salim Arslan, Andrew M Hanby, Rebecca Millican-Slater, Michael Drummond, Olorunda Rotimi, Narender Kumar, Pahini Pandya, Nicolas M Orsi, Tiffany Leung, Amy Schwartz · 2026
Read Deep-Learning Solution Providing Molecular Marker Subtyping of Breast Cancer Whole Slide Images: Protocol for a UK Clinical Service Evaluation Study by Elizabeth Walsh, Dildar Rathore, André Geraldes, Salim Arslan, Andrew M Hanby, Rebecca Millican-Slater, Michael Drummond, Olorunda Rotimi, Narender Kumar, Pahini Pandya, Nicolas M Orsi, Tiffany Leung, Amy Schwartz (2026) in the Tower of Babel, a free online library of public-domain works preserved in clean, searchable text. No sign-up. The full text is served as a plain-text file at a predictable URL, where text is present: https://antarctic-labs.com/tower-of-babel/PMC13320011.txt.
Description
Elizabeth Walsh and co-authors set out a study plan in a 2026 protocol for testing smart software on breast cancer slides in a British hospital service. Lab staff face rising loads, and breast cases need extra marker tests that add time. Software that reads stained slides for three key markers could ease that load, but it must prove itself inside real clinic flow first.
Cases will be picked live from the lab system at a major cancer center and read by the software on a stand alone machine beside normal care, so no patient path changes. About 400 cases with full data are sought after checks and opt out screens. Marker calls from the software will be weighed against lab truth.
Catalog record
| CREATOR | Elizabeth Walsh, Dildar Rathore, André Geraldes, Salim Arslan, Andrew M Hanby, Rebecca Millican-Slater, Michael Drummond, Olorunda Rotimi, Narender Kumar, Pahini Pandya, Nicolas M Orsi, Tiffany Leung, Amy Schwartz |
|---|---|
| YEAR | 2026 |
| COLLECTION | PAPERS |
| FORMAT | TXT |
| FILE SIZE | 34676 |
| LICENSE | https://creativecommons.org/licenses/by/4.0 |
| RIGHTS | CC BY |
| SOURCE | Europe PMC |