Deep multiple instance learning-enabled gene mutation prediction of lung cancer from histopathology images
Year: 2024
Type: article
Abstract: Accurate detection of driver gene mutations is crucial for treatment planning and prognosis prediction for patients with lung cancer. Conventional genomic testing requires high-quality tissue samples and is time- and resource-consuming, and as a result, is not available for most patients especially those in low-resource settings. Herein, we aimed to develop an annotation-free Deep learning-enabled artificial intelligence method (DeepGEM) to predict Gene Mutations from routinely acquired histology slides.
Author: Tencent AI Lab Healthcare Team
Language: English
Topic: AI in cancer detection
Subfield: Artificial Intelligence
Field: Computer Science
Domain: Physical Sciences
Open Access status: green
OpenAlex ID: W6930430718
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