Spectrum-based deep learning framework for dermatological pigment analysis and simulation.
Journal:
Computers in biology and medicine
PMID:
38879933
Abstract
BACKGROUND: Deep learning in dermatology presents promising tools for automated diagnosis but faces challenges, including labor-intensive ground truth preparation and a primary focus on visually identifiable features. Spectrum-based approaches offer professional-level information like pigment distribution maps, but encounter practical limitations such as complex system requirements.