Deep learning-based diagnosis of histopathological patterns for invasive non-mucinous lung adenocarcinoma using semantic segmentation

OBJECTIVES: The application of artificial intelligence (AI) to the field of pathology has facilitated the development of digital pathology, hence, making AI-assisted diagnosis possible. Due to the variety of lung cancers and the subjectivity of manual evaluation, invasive non-mucinous lung adenocarc...

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Detalles Bibliográficos
Autores principales: Zhao, Yanli, He, Sen, Zhao, Dan, Ju, Mengwei, Zhen, Caiwei, Dong, Yujie, Zhang, Chen, Wang, Lang, Wang, Shuhao, Che, Nanying
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BMJ Publishing Group 2023
Materias:
Pathology
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10373723/
https://www.ncbi.nlm.nih.gov/pubmed/37491086
http://dx.doi.org/10.1136/bmjopen-2022-069181

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10373723/
https://www.ncbi.nlm.nih.gov/pubmed/37491086
http://dx.doi.org/10.1136/bmjopen-2022-069181

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