Deep learning approach for automated skin cancer detection with comparative analysis of different batch sizes in dermatological image classification
Skin cancer is a significant public health issue, and accurate, efficient diagnostic methods are essential to reduce delays and errors associated with traditional screening, which often suffers from subjectivity and variability. This study aims to develop a reliable automated skin cancer detection system capable of imp...