IPAB Seminar - 19/03/2025 Speaker: Enrique Dominquez Title: Early detection of skin lesions by deep learning Abstract: Skin cancer is one of the most common and potentially deadly forms of cancer and requires early andaccurate detection for effective treatment. Melanoma is the most dangerous type of skin cancer and is particularlyaggressive with a high potential for metastasis if not detected early. Deep learning models have shown remarkableeffectiveness in detecting skin cancer by recognising subtle changes in skin lesions that may not be readily apparentto the human eye. Recent studies have shown that these models can be integrated into clinical workflows to helpphysicians and dermatologists make more accurate diagnoses and improve patient outcomes. Bio: Prof. Dominguez received his Ph.D. in Artificial Intelligence from the University of Malaga (Spain), where he is currently a Full Professor in the Department of Computer Science. He has published more than 50 papers in leading journals in the field of Artificial Intelligence and Computer Vision. He has also actively participated in the organisation of several international conferences/workshops, as a member of scientific/programming committees, and as a special issue editor. This activity has been established through various international collaborations that have taken place in international projects, organising special sessions at international conferences, or publishing in top international journals with renowned international authors. His research interests include deep learning, data mining, machine learning, neural networks, neurocomputation, evolutionary computation, combinatorial optimization, operations research, transportation and logistics systems, computer vision, image processing and medical imaging. Mar 19 2025 15.00 - 16.00 IPAB Seminar - 19/03/2025 Enrique Dominquez (University of Malaga) G.03
IPAB Seminar - 19/03/2025 Speaker: Enrique Dominquez Title: Early detection of skin lesions by deep learning Abstract: Skin cancer is one of the most common and potentially deadly forms of cancer and requires early andaccurate detection for effective treatment. Melanoma is the most dangerous type of skin cancer and is particularlyaggressive with a high potential for metastasis if not detected early. Deep learning models have shown remarkableeffectiveness in detecting skin cancer by recognising subtle changes in skin lesions that may not be readily apparentto the human eye. Recent studies have shown that these models can be integrated into clinical workflows to helpphysicians and dermatologists make more accurate diagnoses and improve patient outcomes. Bio: Prof. Dominguez received his Ph.D. in Artificial Intelligence from the University of Malaga (Spain), where he is currently a Full Professor in the Department of Computer Science. He has published more than 50 papers in leading journals in the field of Artificial Intelligence and Computer Vision. He has also actively participated in the organisation of several international conferences/workshops, as a member of scientific/programming committees, and as a special issue editor. This activity has been established through various international collaborations that have taken place in international projects, organising special sessions at international conferences, or publishing in top international journals with renowned international authors. His research interests include deep learning, data mining, machine learning, neural networks, neurocomputation, evolutionary computation, combinatorial optimization, operations research, transportation and logistics systems, computer vision, image processing and medical imaging. Mar 19 2025 15.00 - 16.00 IPAB Seminar - 19/03/2025 Enrique Dominquez (University of Malaga) G.03
