Self-supervised learning mechanism for identification of eyelid malignant melanoma in pathologic slides with limited annotation

PURPOSE: The lack of finely annotated pathologic data has limited the application of deep learning systems (DLS) to the automated interpretation of pathologic slides. Therefore, this study develops a robust self-supervised learning (SSL) pathology diagnostic system to automatically detect malignant...

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Detalles Bibliográficos
Autores principales: Wang, Linyan, Jiang, Zijing, Shao, An, Liu, Zhengyun, Gu, Renshu, Ge, Ruiquan, Jia, Gangyong, Wang, Yaqi, Ye, Juan
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2022
Materias:
Medicine
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9550873/
https://www.ncbi.nlm.nih.gov/pubmed/36237543
http://dx.doi.org/10.3389/fmed.2022.976467

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9550873/
https://www.ncbi.nlm.nih.gov/pubmed/36237543
http://dx.doi.org/10.3389/fmed.2022.976467

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