ImmunoAIzer: A Deep Learning-Based Computational Framework to Characterize Cell Distribution and Gene Mutation in Tumor Microenvironment

ImmunoAIzer: A Deep Learning-Based Computational Framework to Characterize Cell Distribution and Gene Mutation in Tumor Microenvironment

Spatial distribution of tumor infiltrating lymphocytes (TILs) and cancer cells in the tumor microenvironment (TME) along with tumor gene mutation status are of vital importance to the guidance of cancer immunotherapy and prognoses. In this work, we developed a deep learning-based computational frame...

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Bibliographic Details
Main Authors: Chang Bian, Yu Wang, Zhihao Lu, Yu An, Hanfan Wang, Lingxin Kong, Yang Du, Jie Tian
Format: Article
Language:English
Published: MDPI AG 2021-04-01
Series:Cancers
Subjects:
deep learning
cell distribution
biomarker
tumor gene mutation
tumor microenvironment (TME)
semi-supervised learning
Online Access:https://www.mdpi.com/2072-6694/13/7/1659

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