Artificial intelligence modelling in grading breast phyllodes tumours

20260 citationsJournal Article

Authors

Jessica Ee Ting Koong · National University of Singapore

Abubakr Shafique · Mayo Clinic

Nur Diyana Md Nasir

Aaron C. Han · Loyola University Chicago

Oi Harada · Hokuto Hospital

Soon Lee · Western Sydney University

Rieko Nishimura · Nagoya Medical Center

Abstract

Despite the small sample size and absence of fine-tuning, our study demonstrated the potential of AI-based PT grade stratification using various patch sizes through histological matching. This serves as a preliminary proof of concept, with the prospect of refinement for potential routine clinical application.

Topics & Keywords

Breast Lesions and Carcinomas AI in cancer detection Breast Cancer Treatment Studies

Publication Details

Published in: Histopathology

DOI: 10.1111/his.70144

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Artificial intelligence modelling in grading breast phyllodes tumours

Authors

Abstract

Topics & Keywords

Publication Details