Article
Hybrid deep multi-task learning radiomics approach for predicting EGFR mutation status of non-small cell lung cancer in CT images.
Physics in medicine and biology - 12 Dec 2023
Gong Jing, Fu Fangqiu, Ma Xiaowen, Wang Ting, Ma Xiangyi, You Chao, Zhang Yang, Peng Weijun, Chen Haiquan, Gu Yajia
Abstract excerpt
Objective.Epidermal growth factor receptor (EGFR) mutation genotyping plays a pivotal role in targeted therapy for non-small cell lung cancer (NSCLC). We aimed to develop a computed tomography (CT) image-based hybrid deep radiomics model to predict EGFR mutation status in NSCLC and investigate the correlations between deep image and quantitative radiomics features.Approach.First, we retrospectively enrolled 818...
Read the complete abstract on PubMedTopics
Share this publication in a Topic to start or enrich a Post.
