default author photo

Marcelo Sobral-Leite

Netherlands Cancer Institute

Plesmanlaan 121

Amsterdam, 1066 CX

Netherlands

  • Netherlands Cancer Institute

SCHOLARLY PAPERS

1

DOWNLOADS

144

TOTAL CITATIONS

0

Scholarly Papers (1)

Actions:
Email selected abstracts
1.

Normal Breast Tissue Classifiers Assess Large-Scale Tissue Compartments with High Accuracy

Number of pages: 42 Posted: 17 Apr 2025
Siyuan Chen, Mario Parreno-Centeno, Graham Booker, Gregory Verghese, Fathima Sumayya Mohamed, Salim Arslan, Pahini Pandya, Aasiyah Oozeer, Marcello D’Angelo, Rachel Barrow, Rachel Nelan, Marcelo Sobral-Leite, Fabio de Martino, Cathrin Brisken, Mathew J. Smalley, Esther H. Lips, Cheryl E. Gillett, J. Louise Jones, Christopher Banerji, Sarah E. Pinder and Anita Grigoriadis
King's College London, King's College London, King's College London, King's College London, King's College London, Panakeia Technologies, Panakeia Technologies, King's College London, King's College London, Queen Mary University of London - Barts Cancer Institute, Queen Mary University of London - Barts Cancer Institute, Netherlands Cancer Institute, École Polytechnique Fédérale de Lausanne (EPFL), École Polytechnique Fédérale de Lausanne (EPFL), Cardiff University, Netherlands Cancer Institute, King’s College London - School of Cancer and Pharmaceutical Sciences, Queen Mary University of London - Centre for Tumour Biology, King’s College London, King’s College London and King's College London - Guy's Cancer Centre
Downloads 144 (511,933)

Abstract:

Loading...

normal breast tissue, tissue type classification, convolutional neural network (CNN)