A5037415957- Cutaneous Melanoma Detection and Management
- AI in cancer detection
- Near-Field Optical Microscopy
- Nonmelanoma Skin Cancer Studies
- Industrial Vision Systems and Defect Detection
Sapienza University of Rome
2024-2025
University of Salento
2022
Skin cancer is a major global health concern, with rising incidence rates. However, current diagnostic methods often lack objectivity, speed, and non-invasiveness. To overcome this limitation, work proposes novel approach combining microwave reflectometry (MR) artificial intelligence (AI) techniques for the diagnosis of in-vivo skin cancer. In particular, MR exploits dielectric properties biological tissues, revealing chemical-physical differences in normal benign/malignant lesions. better...
Despite significant advancements in the automatic classification of skin lesions using artificial intelligence (AI) algorithms, skepticism among physicians persists. This reluctance is primarily due to lack transparency and explainability inherent these models, which hinders their widespread acceptance clinical settings. The primary objective this study develop a highly accurate AI-based algorithm for lesion that also provides visual explanations foster trust confidence novel diagnostic...