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Salim Arslan

Panakeia Technologies

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