3 papers
cs.LG2026
MultiTask Learning AI system to assist BCC diagnosis with dual explanation
Iván Matas, Carmen Serrano, Francisca Silva +3
Basal cell carcinoma (BCC) accounts for about 75% of skin cancers. The adoption of teledermatology protocols in Spanish public hospitals has increased dermatologists' workload, mot…
q-bio.QM2025
Discriminating BCC Subtypes Using Entropy and Mutual Information from Dermoscopic Features
Iván Matas, Begoña Acha, Francisca Silva-ClaverÃa +3
Objective: To analyze the frequency and co-occurrence of dermoscopic patterns in BCC lesions and their relationship with histopathologic subtypes, using statistical analysis and In…
q-bio.QM2024
Concordance in basal cell carcinoma diagnosis. Building a proper ground truth to train Artificial Intelligence tools
Francisca Silva-ClaverÃa, Carmen Serrano, Iván Matas +3
Background: The existence of different basal cell carcinoma (BCC) clinical criteria cannot be objectively validated. An adequate ground-truth is needed to train an artificial intel…