2 papers
cs.CV2023
Automatized Self-Supervised Learning for Skin Lesion Screening
Vullnet Useini, Stephanie Tanadini-Lang, Quentin Lohmeyer +4
Melanoma, the deadliest form of skin cancer, has seen a steady increase in incidence rates worldwide, posing a significant challenge to dermatologists. Early detection is crucial f…
q-bio.QM2023
Dermatologist-like explainable AI enhances trust and confidence in diagnosing melanoma
Tirtha Chanda, Katja Hauser, Sarah Hobelsberger +32
Although artificial intelligence (AI) systems have been shown to improve the accuracy of initial melanoma diagnosis, the lack of transparency in how these systems identify melanoma…