Integrating pathomics and deep learning for subtyping uveal melanoma: identifying high-risk immune infiltration profiles

PurposeUveal melanoma (UVM) is the most common primary intraocular malignancy in adults, characterized by high mortality despite its relatively low incidence. This study aimed to utilize unsupervised learning techniques to identify a high immune infiltration subtype of UVM and improve patient strati...

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Bibliographic Details
Main Authors: Qi Wan, Ran Wei, Hongbo Yin, Jing Tang, Ying-ping Deng, Ke Ma
Format: Article
Language:English
Published: Frontiers Media S.A. 2025-07-01
Series:Frontiers in Immunology
Subjects:
Online Access:https://www.frontiersin.org/articles/10.3389/fimmu.2025.1585097/full
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