Analysis of mammograms using artificial intelligence to predict response to neoadjuvant chemotherapy in breast cancer patients: proof of concept

OBJECTIVES: In this proof of concept study, a deep learning–based method for automatic analysis of digital mammograms (DM) as a tool to aid in assessment of neoadjuvant chemotherapy (NACT) treatment response in breast cancer (BC) was examined. METHODS: Baseline DM from 453 patients receiving NACT be...

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Detalles Bibliográficos
Autores principales: Skarping, I., Larsson, M., Förnvik, D.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer Berlin Heidelberg 2021
Materias:
Imaging Informatics and Artificial Intelligence
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9038782/
https://www.ncbi.nlm.nih.gov/pubmed/34652522
http://dx.doi.org/10.1007/s00330-021-08306-w

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9038782/
https://www.ncbi.nlm.nih.gov/pubmed/34652522
http://dx.doi.org/10.1007/s00330-021-08306-w

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