Girona, 17/02/2025.
The University of Girona hosted the iToBoS Workshop on Skin Lesion Detection with 3D-TBP at the Politecnica-4 building, bringing together leading experts and practitioners in dermatology, medical imaging, machine learning, and artificial intelligence.
The event provided a comprehensive overview of the latest advancements in computer-aided dermatological diagnostics and served as a platform to analyze the results of the Lesion Detection Challenge, hosted on Kaggle and organized by the iToBoS team.
The workshop served as a unique platform for knowledge exchange, featuring insightful discussions from distinguished researchers and industry professionals. Topics covered the integration of cutting-edge machine learning algorithms and the role of AI in enhancing diagnostic accuracy for skin lesions.
"Collaboration is essential in the fight against skin cancer," said Dr. Josep Malvehy, consultant dermatologist at the Dermatology Department and director of the Melanoma Unit at the Hospital Clinic of Barcelona, as well as the Challenge Director.
During the event, we proudly presented the Challenge Awards, celebrating outstanding contributions to the advancement of machine learning techniques for detecting multiple skin lesions in clinical images. The challenge award winners were Solomon Chibuzo Nwafor and Muhammad Faran Akram, for their NinjaX solution, and Taqieldin Hamoda for his detector.
Participants left the workshop with valuable insights and new professional connections, reinforcing the event’s objective to promote collaborative efforts in dermatological research and technology development.
All the details about the event at iToBoS Workshop on Skin Lesion Detection with 3D-TBP. And more about the challenge at iToBoS 2024 - Skin Lesion Detection with 3D-TBP.