IMA++: ISIC Archive Multi-Annotator Dermoscopic Skin Lesion Segmentation Dataset

This article introduces a new dataset for skin lesion segmentation, focusing on multi-annotator data. This suggests an effort to improve the robustness and reliability of AI models trained on this data by accounting for inter-annotator variability. The use of the ISIC archive indicates a focus on a well-established and widely used dataset, which could facilitate comparison with existing methods. The focus on dermoscopic images suggests a medical application.