Prediction of bladder cancer prognosis and immune microenvironment assessment using machine learning and deep learning models

Prediction of bladder cancer prognosis and immune microenvironment assessment using machine learning and deep learning models

Bladder cancer (BCa) is a heterogeneous malignancy characterized by distinct immune subtypes, primarily due to differences in tumor-infiltrating immune cells and their functional characteristics. Therefore, understanding the tumor immune microenvironment (TIME) landscape in BCa is crucial for progno...

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Bibliographic Details
Main Authors: Weihao Nie, Yiheng Jiang, Luhan Yao, Xinqing Zhu, Abdullah Y. AL-Danakh, Wenlong Liu, Qiwei Chen, Deyong Yang
Format: Article
Language:English
Published: Elsevier 2024-12-01
Series:Heliyon
Subjects:
Deep learning
Bladder cancer
Tumor-infiltrating immune cells
Machine learning
Whole slide images
Immune subtypes
Online Access:http://www.sciencedirect.com/science/article/pii/S2405844024153583
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