Led by Aliyu Tetengi Ibrahim and his team at Ahmadu Bello University, a groundbreaking study published in Data Science and Management introduces an innovative AI model for detecting skin cancer. The model utilizes transfer learning and test time augmentation to categorize skin lesions with precision, achieving an impressive 94.49% accuracy rate. By integrating deep learning techniques, the model offers potential to reduce unnecessary biopsies, promote earlier detection, and enhance patient care in dermatology. This technology has the potential to revolutionize global health care by providing life-saving diagnostics to underserved populations and improving access to skin cancer diagnosis through telemedicine platforms.
Source link
AI model achieves high accuracy in skin cancer detection
