Image analysis-based identification of high risk ER-positive, HER2-negative breast cancers

Image analysis-based identification of high risk ER-positive, HER2-negative breast cancers

Abstract Background Breast cancer subtypes Luminal A and Luminal B are classified by the expression of PAM50 genes and may benefit from different treatment strategies. Machine learning models based on H&E images may contain features associated with subtype, allowing early identification of tumor...

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Bibliographic Details
Main Authors: Dong Neuck Lee, Yao Li, Linnea T. Olsson, Alina M. Hamilton, Benjamin C. Calhoun, Katherine A. Hoadley, J. S. Marron, Melissa A. Troester
Format: Article
Language:English
Published: BMC 2024-12-01
Series:Breast Cancer Research
Subjects:
Breast cancer
CBCS3
Histology
Multiple instance learning
Image segmentation
Distance weighted learning
Online Access:https://doi.org/10.1186/s13058-024-01915-5
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https://doi.org/10.1186/s13058-024-01915-5

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