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Updated: Jan 28, 2026

A Multimodal Imaging Framework to Advance Phenotyping of Living Label-free Breast Cancer Cells
Published on: August 22, 2025
Marco jerárquico de transformador de pirámide de imágenes para la subtipificación molecular automatizada del cáncer
Baizhou Li1,2, Yuting Zhong3, Zehang Xing3
1Department of Pathology, Second Affiliated Hospital, Zhejiang University School of Medicine, Zhejiang, PR China.
Un novedoso marco de aprendizaje profundo, pathomics breast cancer hierarchical image pyramid transformer (PBC-HIPT), realiza con precisión la subtipificación molecular y la predicción de biomarcadores a partir de imágenes de cáncer de mama teñidas con H&E. Este enfoque automatizado supera las limitaciones de los métodos tradicionales, ofreciendo una mayor precisión diagnóstica.
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