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

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

PurposeThe 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 me...

Full description

Bibliographic Details
Main Authors: Linyan Wang, Zijing Jiang, An Shao, Zhengyun Liu, Renshu Gu, Ruiquan Ge, Gangyong Jia, Yaqi Wang, Juan Ye
Format: Article
Language:English
Published: Frontiers Media S.A. 2022-09-01
Series:Frontiers in Medicine
Subjects:
artificial intelligence - assisted bioinformatic analysis
self-supervised deep learning
pathology
tumor diagnosis
melanoma
Online Access:https://www.frontiersin.org/articles/10.3389/fmed.2022.976467/full

Internet

https://www.frontiersin.org/articles/10.3389/fmed.2022.976467/full

Similar Items