Weakly supervised learning and interpretability for endometrial whole slide image diagnosis

Fully supervised learning for whole slide image–based diagnostic tasks in histopathology is problematic due to the requirement for costly and time-consuming manual annotation by experts. Weakly supervised learning that utilizes only slide-level labels during training is becoming more widespread as i...

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Detalles Bibliográficos
Autores principales: Mohammadi, Mahnaz, Cooper, Jessica, Arandelović, Ognjen, Fell, Christina, Morrison, David, Syed, Sheeba, Konanahalli, Prakash, Bell, Sarah, Bryson, Gareth, Harrison, David J, Harris-Birtill, David
Formato: Online Artículo Texto
Lenguaje:English
Publicado: SAGE Publications 2022
Materias:
Original Research
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9791308/
https://www.ncbi.nlm.nih.gov/pubmed/36281799
http://dx.doi.org/10.1177/15353702221126560

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9791308/
https://www.ncbi.nlm.nih.gov/pubmed/36281799
http://dx.doi.org/10.1177/15353702221126560

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