A. Ahmed

MLHNet-Lung: an attention-guided multi-level CNN–transformer fusion framework with CBAM and GeM pooling for explainable multiclass lung CT image classification

Accurate differentiation of lung cancer subtypes from computed tomography (CT) images remains challenging because malignant classes may exhibit overlapping radiographic characteristics, while conventional convolutional neural networks frequently rely only on final-layer semantic representations and may underuse informa...