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Article

Deep learning-based analysis of EGFR mutation prevalence in lung adenocarcinoma H&E whole slide images.

The journal of pathology. Clinical research - 1 Nov 2024

Park Jun Hyeong, Lim June Hyuck, Kim Seonhwa, Kim Chul-Ho, Choi Jeong-Seok, Lim Jun Hyeok, Kim Lucia, Chang Jae Won, Park Dongil, Lee Myung-Won, Kim Sup, Park Il-Seok, Han Seung Hoon, Shin Eun, Roh Jin, Heo Jaesung

Abstract excerpt

EGFR mutations are a major prognostic factor in lung adenocarcinoma. However, current detection methods require sufficient samples and are costly. Deep learning is promising for mutation prediction in histopathological image analysis but has limitations in that it does not sufficiently reflect tumor heterogeneity and lacks interpretability. In this study, we developed a deep learning model to predict the presence...

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Adenocarcinoma of Lung
Deep Learning
DNA Mutational Analysis
ErbB Receptors
EGFR gene

Methodology Data sources Editorial policy Privacy About Contact Helena Bioinformatics

Image Interpretation, Computer-Assisted

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Open in PubMed Open full text

Identifiers

PMID: 39358807
DOI: 10.1002/2056-4538.70004
PMCID: PMC11446692

Genes

EGFR

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PubMed metadata and Literature Corpus relationships. Corpus snapshot updated 1 Sept 2026.

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