Monitoring response to neoadjuvant therapy for breast cancer in all treatment phases using an ultrasound deep learning model

PurposeThe aim of this study was to investigate the value of a deep learning model (DLM) based on breast tumor ultrasound image segmentation in predicting pathological response to neoadjuvant chemotherapy (NAC) in breast cancer.MethodsThe dataset contains a total of 1393 ultrasound images of 913 pat...

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Autori principali:	Jingwen Zhang, Jingwen Deng, Jin Huang, Liye Mei, Ni Liao, Feng Yao, Cheng Lei, Shengrong Sun, Yimin Zhang
Natura:	Artigo
Lingua:	Inglês
Pubblicazione:	Frontiers Media S.A. 2024-01-01
Serie:	Frontiers in Oncology
Soggetti:	breast cancer ultrasound image deep learning neoadjuvant chemotherapy pathological complete response
Accesso online:	https://www.frontiersin.org/articles/10.3389/fonc.2024.1255618/full
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