A promising deep learning-assistive algorithm for histopathological screening of colorectal cancer

Colorectal cancer is one of the most common cancers worldwide, accounting for an annual estimated 1.8 million incident cases. With the increasing number of colonoscopies being performed, colorectal biopsies make up a large proportion of any histopathology laboratory workload. We trained and validate...

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Detalles Bibliográficos
Autores principales: Ho, Cowan, Zhao, Zitong, Chen, Xiu Fen, Sauer, Jan, Saraf, Sahil Ajit, Jialdasani, Rajasa, Taghipour, Kaveh, Sathe, Aneesh, Khor, Li-Yan, Lim, Kiat-Hon, Leow, Wei-Qiang
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2022
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8828883/
https://www.ncbi.nlm.nih.gov/pubmed/35140318
http://dx.doi.org/10.1038/s41598-022-06264-x

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8828883/
https://www.ncbi.nlm.nih.gov/pubmed/35140318
http://dx.doi.org/10.1038/s41598-022-06264-x

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