Segmentation of lung cancer lesions can assist physicians in diagnosing the condition. Transformer typically has high computational complexity, and how to effectively integrate Convolutional Neural Network (CNN) and Transformer for lung cancer segmentation remains an unresolved issue. Therefore, this paper introduces a novel hybrid CNN and Transformer network for lung cancer segmentation. The designed method consists of a CNN encoder, a Transformer encoder, a fusion module, and a CNN decoder. The CNN encoder is employed to extract local features, while the Transformer encoder captures global f...
