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Article

Prediction of genetic alterations from gastric cancer histopathology images using a fully automated deep learning approach.

World journal of gastroenterology - 28 Nov 2021

Jang Hyun-Jong, Lee Ahwon, Kang Jun, Song In Hye, Lee Sung Hak

Abstract excerpt

BACKGROUND: Studies correlating specific genetic mutations and treatment response are ongoing to establish an effective treatment strategy for gastric cancer (GC). To facilitate this research, a cost- and time-effective method to analyze the mutational status is necessary. Deep learning (DL) has been successfully applied to analyze hematoxylin and eosin (H and E)-stained tissue slide images. AIM: To test the...

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Identifiers

PMID: 34908807
DOI: 10.3748/wjg.v27.i44.7687
PMCID: PMC8641056

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