Hybrid Deep Learning Improves Gastrointestinal Image Classification
A hybrid deep learning framework combining ResNet50, VGG16, Coordinate Attention, and focal loss improved gastrointestinal endoscopic image classification across 22 classes, addressing visual similarity and class imbalance.