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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...
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 |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
John Wiley and Sons Inc.
2022
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Materias: | |
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 |
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