[Hulin Kuang; Jianxin Wang] Hunan Provincial Key Lab on Bioinformatics, School of Computer Science and Engineering, Central South University, Hunan, China
College of Information and Electronic Engineering, Hunan City University, Yiyang, Hunan, China
[Jiancun Zhou] Hunan Provincial Key Lab on Bioinformatics, School of Computer Science and Engineering, Central South University, Hunan, China<&wdkj&>College of Information and Electronic Engineering, Hunan City University, Yiyang, Hunan, China
语种：
英文
年：
2025
页码：
38-48
会议名称：
Bioinformatics Research and Applications: 21st International Symposium, ISBRA 2025, Helsinki, Finland, August 3–5, 2025, Proceedings, Part II
Accurate prediction of pathological complete response (pCR) is useful for clinical precision treatment of lung cancer. Computed tomograph (CT) imaging is widely used for predicting pCR in lung cancer due to its rapid acquisition and ease of use. However, existing classification methods for pCR prediction are primarily limited to either convolutional neural networks (CNNs) or Transformer architectures, which can not capture effective global information or have relatively low computational efficiency. Therefore, this study proposes a novel CNN an...
