Attention-based multimodal deep learning for interpretable and generalizable prediction of pathological complete response in breast cancer

Attention-based multimodal deep learning for interpretable and generalizable prediction of pathological complete response in breast cancer

Abstract Background Accurate prediction of pathological complete response (pCR) to neoadjuvant chemotherapy has significant clinical utility in the management of breast cancer treatment. Although multimodal deep learning models have shown promise for predicting pCR from medical imaging and other cli...

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Bibliographic Details
Main Authors: Taishi Nishizawa, Takouhie Maldjian, Zhicheng Jiao, Tim Q. Duong
Format: Article
Language:English
Published: BMC 2025-07-01
Series:Journal of Translational Medicine
Subjects:
CNN
3D ResNet
Artificial intelligence
Magnetic resonance imaging
Dynamic contrast enhanced MRI
Molecular subtypes
Online Access:https://doi.org/10.1186/s12967-025-06617-w
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https://doi.org/10.1186/s12967-025-06617-w

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