The effect of spatial resolution on deep learning classification of lung cancer histopathology

OBJECTIVE: The microscopic analysis of biopsied lung nodules represents the gold-standard for definitive diagnosis of lung cancer. Deep learning has achieved pathologist-level classification of non-small cell lung cancer histopathology images at high resolutions (0.5–2 µm/px), and recent studies hav...

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Detalles Bibliográficos
Autores principales: Wiebe, Mitchell, Haston, Christina, Lamey, Michael, Narayan, Apurva, Rajapakshe, Rasika
Formato: Online Artículo Texto
Lenguaje:English
Publicado: The British Institute of Radiology. 2023
Materias:
Original Research
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10636338/
https://www.ncbi.nlm.nih.gov/pubmed/37953867
http://dx.doi.org/10.1259/bjro.20230008

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10636338/
https://www.ncbi.nlm.nih.gov/pubmed/37953867
http://dx.doi.org/10.1259/bjro.20230008

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