Monitoring of Pigmented Skin Lesions Using 3D Whole Body Imaging

• Published in: arXiv.org
• Main Authors: Ahmedt-Aristizabal, David, Nguyen, Chuong, Tychsen-Smith, Lachlan, Ashley, Stacey, Li, Shenghong, Pathikulangara, Joseph, Petersson, Lars, Wang, Dadong
• Format: Paper Journal Article
• Language: English
• Published: Ithaca Cornell University Library, arXiv.org 27.02.2023
• Subjects: Algorithms; Angles (geometry); Artificial neural networks; Computer Science - Computer Vision and Pattern Recognition; Computer Science - Graphics; Data analysis; Data management; Data processing; Image analysis; Image reconstruction; Lesions; Machine learning; Mapping; Medical imaging; Outliers (statistics); Skin; Three dimensional bodies; Two dimensional analysis
• ISSN: 2331-8422
• DOI: 10.48550/arxiv.2205.07085

Advanced artificial intelligence and machine learning have great potential to redefine how skin lesions are detected, mapped, tracked and documented. Here, We propose a 3D whole-body imaging system known as 3DSkin-mapper to enable automated detection, evaluation and mapping of skin lesions. A modula...