Article
Detailed identification of epidermal growth factor receptor mutations in lung adenocarcinoma: Combining radiomics with machine learning.
Medical physics - 1 Aug 2020
Li Shu, Luo Ting, Ding Changwei, Huang Qinlai, Guan Zhihao, Zhang Hao
Abstract excerpt
PURPOSE: To investigate the use of radiomics in the in-depth identification of epidermal growth factor receptor (EGFR) mutation status in patients with lung adenocarcinoma. METHODS: Computed tomography images of 438 patients with lung adenocarcinoma were collected in two different institutions, and 496 radiomic features were extracted. In the training set, lasso logistic regression was used to establish radiomic...
Read the complete abstract on PubMedTopics
Share this publication in a Topic to start or enrich a Post.
