MLHNet-Lung: an attention-guided multi-level CNN–transformer fusion framework with CBAM and GeM pooling for explainable multiclass lung CT image classification
The proposed MLHNet-Lung framework for image-level classification of adenocarcinoma, large cell carcinoma, normal, and squamous cell carcinoma CT slices demonstrates the value of jointly modeling complementary intermediate and high-level CT representations; however, patient-level multicenter validation and clinically v...