Hagnifinder: Recovering magnification information of digital histological images using deep learning

BACKGROUND AND OBJECTIVE: Training a robust cancer diagnostic or prognostic artificial intelligent model using histology images requires a large number of representative cases with labels or annotations, which are difficult to obtain. The histology snapshots available in published papers or case rep...

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Detalles Bibliográficos
Autores principales: Zhang, Hongtai, Liu, Zaiyi, Song, Mingli, Lu, Cheng
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2023
Materias:
Original Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10009300/
https://www.ncbi.nlm.nih.gov/pubmed/36923447
http://dx.doi.org/10.1016/j.jpi.2023.100302

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10009300/
https://www.ncbi.nlm.nih.gov/pubmed/36923447
http://dx.doi.org/10.1016/j.jpi.2023.100302

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