DeepSkinNet: An EfficientNetV2B0-Based Framework for Binary Skin Lesion Classification
The classification of skin lesions with deep learning is still difficult when there is a limited amount of labeled dermoscopic data. In this work, the authors propose an EfficientNetV2B0 framework for binary classification of actinic keratosis (AKIEC) and vascular lesions (VASC), which is referred to as DeepSkinNet. Im...