Machine learning classification of texture features of MRI breast tumor and peri-tumor of combined pre- and early treatment predicts pathologic complete response

PURPOSE: This study used machine learning classification of texture features from MRI of breast tumor and peri-tumor at multiple treatment time points in conjunction with molecular subtypes to predict eventual pathological complete response (PCR) to neoadjuvant chemotherapy. MATERIALS AND METHOD: Th...

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Detalles Bibliográficos
Autores principales: Hussain, Lal, Huang, Pauline, Nguyen, Tony, Lone, Kashif J., Ali, Amjad, Khan, Muhammad Salman, Li, Haifang, Suh, Doug Young, Duong, Tim Q.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2021
Materias:
Research
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8240261/
https://www.ncbi.nlm.nih.gov/pubmed/34183038
http://dx.doi.org/10.1186/s12938-021-00899-z

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8240261/
https://www.ncbi.nlm.nih.gov/pubmed/34183038
http://dx.doi.org/10.1186/s12938-021-00899-z

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