A collaborative workflow between pathologists and deep learning for the evaluation of tumour cellularity in lung adenocarcinoma

AIMS: The reporting of tumour cellularity in cancer samples has become a mandatory task for pathologists. However, the estimation of tumour cellularity is often inaccurate. Therefore, we propose a collaborative workflow between pathologists and artificial intelligence (AI) models to evaluate tumour...

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Detalles Bibliográficos
Autores principales: Sakamoto, Taro, Furukawa, Tomoi, Pham, Hoa H N, Kuroda, Kishio, Tabata, Kazuhiro, Kashima, Yukio, Okoshi, Ethan N, Morimoto, Shimpei, Bychkov, Andrey, Fukuoka, Junya
Formato: Online Artículo Texto
Lenguaje:English
Publicado: John Wiley and Sons Inc. 2022
Materias:
Original Articles
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9826135/
https://www.ncbi.nlm.nih.gov/pubmed/35989443
http://dx.doi.org/10.1111/his.14779

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9826135/
https://www.ncbi.nlm.nih.gov/pubmed/35989443
http://dx.doi.org/10.1111/his.14779

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