Web-based Melanoma Detection

arXiv:2403.14898v1 Announce Type: cross
Abstract: Melanoma is the most aggressive form of skin cancer, and early detection can significantly increase survival rates and prevent cancer spread. However, developing reliable automated detection techniques is difficult due to the lack of standardized datasets and evaluation methods. This study introduces a unified melanoma classification approach that supports 54 combinations of 11 datasets and 24 state-of-the-art deep learning architectures. It enables a fair comparison of 1,296 experiments and results in a lightweight model deployable …

abstract arxiv automated cancer classification cs.cv cs.lg datasets detection evaluation form however melanoma skin cancer study survival type web