Article

Predicting EGFR gene mutation status in lung adenocarcinoma based on multifeature fusion

2023-03-07

Abstract excerpt

Adenocarcinoma is the most common histopathological type of lung cancer, and histopathological images are important for assessing the stage and subtype of tumors. Patients with lung adenocarcinoma may have genetic alterations in oncogenic drivers, including EGFR, ALK, ROS1, BRAF, among others. Among them, the EGFR mutation-positivity in Asians is as high as 40%–60%. However, no research has explored the relationsh...

Topics

Open a Topic to create a Post that cites this publication.

Identifiers and source

Literature Corpus work: 7df30ab2-c2bd-52fa-a306-7ac2a3b61b98
DOI: 10.1016/j.bspc.2023.104786

Open publication

Related research

Semantic proximity does not establish scientific evidence.

Click a neighbor to travelStep 1 · 12 closest

Predicting EGFR gene mutation status in lung adenocarcinoma based on multifeature fusionDOI 10.1016/j.bspc.2023.104786Read

[Prediction of gene mutation in lung cancer based on deep learning and histomorphology analysis].Semantic proximity Read

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

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

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

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

Prediction of Epidermal Growth Factor Receptor Mutation Subtypes in Non-Small Cell Lung Cancer From Hematoxylin and Eosin-Stained Slides Using Deep Learning.Semantic proximity Read

High accuracy epidermal growth factor receptor mutation prediction via histopathological 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-based analysis of EGFR mutation prevalence in lung adenocarcinoma H&E whole slide images.Semantic proximity Read

Deep CNN Model Using CT Radiomics Feature Mapping Recognizes EGFR Gene Mutation Status of Lung AdenocarcinomaSemantic proximity Read

Predicting EGFR mutational status from pathology images using a real-world dataset.Semantic proximity Read