Robustness Evaluation of a Deep Learning Model on Sagittal and Axial Breast DCE-MRIs to Predict Pathological Complete Response to Neoadjuvant Chemotherapy

To date, some artificial intelligence (AI) methods have exploited Dynamic Contrast-Enhanced Magnetic Resonance Imaging (DCE-MRI) to identify finer tumor properties as potential earlier indicators of pathological Complete Response (pCR) in breast cancer patients undergoing neoadjuvant chemotherapy (N...

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Detalles Bibliográficos
Autores principales: Massafra, Raffaella, Comes, Maria Colomba, Bove, Samantha, Didonna, Vittorio, Gatta, Gianluca, Giotta, Francesco, Fanizzi, Annarita, La Forgia, Daniele, Latorre, Agnese, Pastena, Maria Irene, Pomarico, Domenico, Rinaldi, Lucia, Tamborra, Pasquale, Zito, Alfredo, Lorusso, Vito, Paradiso, Angelo Virgilio
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9225219/
https://www.ncbi.nlm.nih.gov/pubmed/35743737
http://dx.doi.org/10.3390/jpm12060953

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9225219/
https://www.ncbi.nlm.nih.gov/pubmed/35743737
http://dx.doi.org/10.3390/jpm12060953

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