Predicting Nottingham grade in breast cancer digital pathology using a foundation model

Predicting Nottingham grade in breast cancer digital pathology using a foundation model

Abstract Background The Nottingham histologic grade is crucial for assessing severity and predicting prognosis in breast cancer, a prevalent cancer worldwide. Traditional grading systems rely on subjective expert judgment and require extensive pathological expertise, are time-consuming, and often le...

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Main Authors: Jun Seo Kim, Jeong Hoon Lee, Yousung Yeon, Doyeon An, Seok Jun Kim, Myung-Giun Noh, Suehyun Lee
Format: Article
Language:English
Published: BMC 2025-04-01
Series:Breast Cancer Research
Subjects:
Biological processes
Breast cancer
Gene expression data
Gene ontology
Multiple instance learning
Nottingham grade
Online Access:https://doi.org/10.1186/s13058-025-02019-4
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https://doi.org/10.1186/s13058-025-02019-4

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