Deep learning predicts chromosomal instability from histopathology images

Chromosomal instability (CIN) is a hallmark of human cancer yet not readily testable for patients with cancer in routine clinical setting. In this study, we sought to explore whether CIN status can be predicted using ubiquitously available hematoxylin and eosin histology through a deep learning-base...

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Detalles Bibliográficos
Autores principales: Xu, Zhuoran, Verma, Akanksha, Naveed, Uska, Bakhoum, Samuel F., Khosravi, Pegah, Elemento, Olivier
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2021
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8099498/
https://www.ncbi.nlm.nih.gov/pubmed/33997679
http://dx.doi.org/10.1016/j.isci.2021.102394

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8099498/
https://www.ncbi.nlm.nih.gov/pubmed/33997679
http://dx.doi.org/10.1016/j.isci.2021.102394

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