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Deep learning models for predicting responses to neoadjuvant systemic therapy in triple-negative breast cancer using pre-treatment MRI

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Year: 2024
Type: conference-paper
Study design: Observational Study
Source: Proceedings on CD-ROM - International Society for Magnetic Resonance in Medicine. Scientific Meeting and Exhibition/Proceedings of the International Society for Magnetic Resonance in Medicine, Scientific Meeting and Exhibition
DOI: 10.58530/2024/0856
Authors: Zhan Xu, Jong Bum Son, Beatriz Adrada, Tanya Moseley, Rosalind Candelaria, Mary Guirguis, Miral Patel, Gary Whitman, Jessica Leung, Huong Le-Petross, Rania Mohamed, Sanaz Pashapoor, Bikash Panthi, Deanna Lane, Frances Perez, Huiqin Chen, Jia Sun, Peng Wei, Debu Tripathy, Wei Yang, Clinton Yam, Gaiane Rauch, Jingfei Ma
Language: English

Topic: MRI in cancer diagnosis
Subfield: Radiology, Nuclear Medicine and Imaging
Field: Medicine
Domain: Health Sciences
SDG: Good health and well-being

Open Access status: closed
OpenAlex ID: W4404747085
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Related to: 10
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