A Comprehensive Survey on Vitiligo Detection Using Deep Learning
January 2026
in “
ITM Web of Conferences
”
Research cited in this study
1 / 1 resultsresearch Skin Image Analysis for Detection and Quantitative Assessment of Dermatitis, Vitiligo, and Alopecia Areata Lesions: A Systematic Literature Review
Computer vision techniques can help detect and assess skin conditions like vitiligo, alopecia areata, and dermatitis.
Similar Research
5 / 1000+ resultsresearch Skin image analysis for detection and quantitative assessment of dermatitis, vitiligo and alopecia areata lesions: a systematic literature review
Computer vision techniques can help detect and assess skin conditions like vitiligo, alopecia areata, and dermatitis.
research An Approach to Detect Alopecia Areata Hair Disease Using Deep Learning
Deep learning can accurately detect Alopecia Areata with up to 98.3% accuracy.
research Deep Learning-Based Dermatological Condition Detection: A Systematic Review With Recent Methods, Datasets, Challenges, and Future Directions
Deep learning helps detect skin conditions and is advancing dermatology diagnosis and treatment.
research Non-invasive skin measurement methods and diagnostics for vitiligo: a systematic review
Reliable, non-invasive tools are needed for better vitiligo diagnosis.
research Deep Learning-based Automatic System for Diagnosis and Classification of Skin Dermatoses
The document concludes that an automatic system using deep learning can help diagnose skin disorders, but challenges and opportunities in this area remain.