Colorectal Cancer Tissue Classification Using Semi-Supervised Hypergraph Convolutional Network

Colorectal Cancer (CRC) is a leading cause of death around the globe, and therefore, the analysis of tumor micro environment in the CRC WSIs is important for the early detection of CRC. Conventional visual inspection is very time consuming and the process can undergo inaccuracies because of the subj...

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Veröffentlicht in:	Proceedings (International Symposium on Biomedical Imaging) S. 1306 - 1309
Hauptverfasser:	Bakht, Ahsan Baidar, Javed, Sajid, AlMarzouqi, Hasan, Khandoker, Ahsan, Werghi, Naoufel
Format:	Tagungsbericht
Sprache:	Englisch
Veröffentlicht:	IEEE 13.04.2021
Schlagworte:	Classification algorithms Colorectal Cancer (CRC) Deep Learning Feature extraction Hypergraph Neural Network Image edge detection Inspection Labeling Neural networks Tissue Classification Visualization
ISSN:	1945-8452
Online-Zugang:	Volltext
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