Scale-adaptive ROI and CBAM enhanced MobileNetV2 for low-dose CT pulmonary nodule classification
Accurate detection of pulmonary nodules in low-dose computed tomography (LDCT) is crucial for early screening of lung cancer. To address the challenge of classification accuracy degradation caused by multi-scale nodule variations and complex background interference, this paper proposes an enhanced MobileNetV2 model bas...