Artificial intelligence reveals features associated with breast cancer neoadjuvant chemotherapy responses from multi-stain histopathologic images

Advances in computational algorithms and tools have made the prediction of cancer patient outcomes using computational pathology feasible. However, predicting clinical outcomes from pre-treatment histopathologic images remains a challenging task, limited by the poor understanding of tumor immune mic...

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Detalles Bibliográficos
Autores principales: Huang, Zhi, Shao, Wei, Han, Zhi, Alkashash, Ahmad Mahmoud, De la Sancha, Carlo, Parwani, Anil V., Nitta, Hiroaki, Hou, Yanjun, Wang, Tongxin, Salama, Paul, Rizkalla, Maher, Zhang, Jie, Huang, Kun, Li, Zaibo
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2023
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9883475/
https://www.ncbi.nlm.nih.gov/pubmed/36707660
http://dx.doi.org/10.1038/s41698-023-00352-5

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9883475/
https://www.ncbi.nlm.nih.gov/pubmed/36707660
http://dx.doi.org/10.1038/s41698-023-00352-5

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