Loading publication...

Noodle always counts identifier-free feature events for service operation. With your permission, Google Analytics can also estimate audience and engagement. Search text, publication identifiers, cookies, IP addresses and browser fingerprints are never included in Noodle's first-party event counters.

Privacy details

Article

Deep learning using histological images for gene mutation prediction in lung cancer: a multicentre retrospective study.

The Lancet. Oncology - 1 Jan 2025

Zhao Yu, Xiong Shan, Ren Qin, Wang Jun, Li Min, Yang Lin, Wu Di, Tang Kejing, Pan Xiaojie, Chen Fengxia, Wang Wenxiang, Jin Shi, Liu Xianling, Lin Gen, Yao Wenxiu, Cai Linbo, Yang Yi, Liu Jixian, Wu Jingxun, Fu Wenfan, Sun Kai, Li Feng, Cheng Bo, Zhan Shuting, Wang Haixuan, Yu Ziwen, Liu Xiwen, Zhong Ran, Wang Huiting, He Ping, Zheng Yongmei, Liang Peng, Chen Longfei, Hou Ting, Huang Junzhou, He Bing, Song Jiangning, Wu Lin, Hu Chengping, He Jianxing, Yao Jianhua, Liang Wenhua

Abstract excerpt

BACKGROUND: Accurate detection of driver gene mutations is crucial for treatment planning and predicting prognosis for patients with lung cancer. Conventional genomic testing requires high-quality tissue samples and is time-consuming and resource-consuming, and as a result, is not available for most patients, especially those in low-resource settings. We aimed to develop an annotation-free Deep learning-enabled...

Topics

Join the communities discussing this publication.

Aged
Biomarkers, Tumor
China
Deep Learning

Methodology Data sources Editorial policy Privacy About Contact Helena Bioinformatics

High-Throughput Nucleotide Sequencing

Source

Identifiers

PMID: 39653054
DOI: 10.1016/S1470-2045(24)00599-0

Provenance

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

Community interpretation

Discuss the evidence

Ask a question, add context or challenge an interpretation. Community activity is separate from scientific evidence strength.

0

discussions

0

replies

Citations encouraged

Claims remain attributable.

No discussion yet

Be the first to add a careful, cited interpretation.

Related research

Semantic proximity does not establish scientific evidence.

Research trail→

Click a neighbor to travelStep 1 · 12 closest

Deep learning using histological images for gene mutation prediction in lung cancer: a multicentre retrospective study.PMID 39653054Read ↗

Predicting Oncogene Mutations of Lung Cancer Using Deep Learning and Histopathologic Features on Whole-Slide ImagesSemantic proximity Read ↗

Predicting oncogene mutations of lung cancer using deep learning and histopathologic features on whole-slide imagesSemantic proximity Read ↗

Classification and Mutation Prediction from Non-Small Cell Lung Cancer Histopathology Images using Deep LearningSemantic proximity Read ↗

A Deep Learning solution for triaging patient with cancer from their predicted mutational status using histopathological imagesSemantic proximity Read ↗

Deep Learning Predicts EGFR Mutation Status from Histology Images in Non-Small Cell Lung Cancer.Semantic proximity Read ↗

Predicting Tumor Mutational Burden From Lung Adenocarcinoma Histopathological Images Using Deep LearningSemantic proximity Read ↗

Artificial Intelligence-Based Model Exploiting Hematoxylin and Eosin Images to Predict Rare Gene Mutations in Patients With Lung Adenocarcinoma.Semantic proximity Read ↗

Deep learning framework for predicting EGFR mutation status from H&E whole slide images in lung adenocarcinoma.Semantic proximity Read ↗

Prediction of Target-Drug Therapy by Identifying Gene Mutations in Lung Cancer With Histopathological Stained Image and Deep Learning TechniquesSemantic proximity Read ↗

A Deep Learning Framework Integrating Tumor Microenvironmental Features Accurately Predicts Multiple Driver Gene Mutations in Lung Cancer Pathology Images.Semantic proximity Read ↗

Predicting tumour mutational burden from histopathological images using multiscale deep learningSemantic proximity Read ↗

A deep learning solution to predict tumor mutational status : an evaluation as a first-line diagnostic toolSemantic proximity Read ↗

⌁Select a neighboring publication to make it the new centre.