Prediction of Chemotherapy Response in Locally Advanced Breast Cancer Patients at Pre-Treatment Using CT Textural Features and Machine Learning: Comparison of Feature Selection Methods

Rationale: Neoadjuvant chemotherapy (NAC) is a key element of treatment for locally advanced breast cancer (LABC). Predicting the response of NAC for patients with LABC before initiating treatment would be valuable to customize therapies and ensure the delivery of effective care. Objective: Our obje...

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Detalhes bibliográficos

Principais autores:	Amir Moslemi, Laurentius Oscar Osapoetra, Archya Dasgupta, Schontal Halstead, David Alberico, Maureen Trudeau, Sonal Gandhi, Andrea Eisen, Frances Wright, Nicole Look-Hong, Belinda Curpen, Michael Kolios, Gregory J. Czarnota
Formato:	Artigo
Idioma:	Inglês
Publicado em:	MDPI AG 2025-03-01
Colecção:	Tomography
Assuntos:	NAC LABC CT imaging textural features machine learning
Acesso em linha:	https://www.mdpi.com/2379-139X/11/3/33
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