Jin-Fu Ye

Skin Lesion Image Classification Based on Deep Learning: A Systematic Ablation Study of Heterogeneous CNN Ensembles

A heterogeneous CNN voting ensemble comprising ResNet50, ResNet101, and EfficientNet -B0 for 7-class skin lesion classification on the ISIC2018 dataset is constructed, establishing a reusable analytical framework for rigorous ensemble evaluation in broader medical imaging classification tasks.