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…
cs.CV2025
Mitigating Overfitting in Medical Imaging: Self-Supervised Pretraining vs. ImageNet Transfer Learning for Dermatological Diagnosis
Iván Matas, Carmen Serrano, Miguel Nogales +4
Deep learning has transformed computer vision but relies heavily on large labeled datasets and computational resources. Transfer learning, particularly fine-tuning pretrained model…
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…