Artificial Intelligence-Based Tissue Phenotyping in Colorectal Cancer Histopathology Using Visual and Semantic Features Aggregation

Artificial Intelligence-Based Tissue Phenotyping in Colorectal Cancer Histopathology Using Visual and Semantic Features Aggregation

Tissue phenotyping of the tumor microenvironment has a decisive role in digital profiling of intra-tumor heterogeneity, epigenetics, and progression of cancer. Most of the existing methods for tissue phenotyping often rely on time-consuming and error-prone manual procedures. Recently, with the adven...

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Bibliographic Details
Main Authors: Tahir Mahmood, Seung Gu Kim, Ja Hyung Koo, Kang Ryoung Park
Format: Article
Language:English
Published: MDPI AG 2022-06-01
Series:Mathematics
Subjects:
artificial intelligence
computational pathology
tumor microenvironment
colorectal cancer
cancer diagnosis
Online Access:https://www.mdpi.com/2227-7390/10/11/1909

Internet

https://www.mdpi.com/2227-7390/10/11/1909

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