title: Automated detection of new or evolving melanocytic lesions using a 3D body model.
abstract: Detection of new or rapidly evolving melanocytic lesions is crucial for early diagnosis and treatment of melanoma. We propose a fully automated pre-screening system for detecting new lesions or changes in existing ones, on the order of 2 - 3mm, over almost the entire body surface. Our solution is based on a multi-camera 3D stereo system. The system captures 3D textured scans of a subject at different times and then brings these scans into correspondence by aligning them with a learned, parametric, non-rigid 3D body model. This means that captured skin textures are in accurate alignment across scans, facilitating the detection of new or changing lesions. The integration of lesion segmentation with a deformable 3D body model is a key contribution that makes our approach robust to changes in illumination and subject pose.
authors.forename: Federica
authors.initials: F
authors.lastname: Bogo
authors.forename: Javier
authors.initials: J
authors.lastname: Romero
authors.forename: Enoch
authors.initials: E
authors.lastname: Peserico
authors.forename: Michael J
authors.initials: MJ
authors.lastname: Black
mesh_terms: D000328:Adult; D000465:Algorithms; D001185:Artificial Intelligence; D003198:Computer Simulation; D046169:Dermoscopy / Q000379:methods*; D005260:Female; D006801:Humans; D007089:Image Enhancement / Q000379:methods; D007090:Image Interpretation, Computer-Assisted / Q000379:methods; D021621:Imaging, Three-Dimensional / Q000379:methods*; D008545:Melanoma / Q000473:pathology*; D008954:Models, Biological; D010363:Pattern Recognition, Automated / Q000379:methods*; D010781:Photography / Q000379:methods*; D015203:Reproducibility of Results; D012680:Sensitivity and Specificity; D012878:Skin Neoplasms / Q000473:pathology*; D051598:Whole Body Imaging / Q000379:methods*; D055815:Young Adult