[HTML][HTML] A survey, review, and future trends of skin lesion segmentation and classification

MK Hasan, MA Ahamad, CH Yap, G Yang - Computers in Biology and …, 2023 - Elsevier
Abstract The Computer-aided Diagnosis or Detection (CAD) approach for skin lesion
analysis is an emerging field of research that has the potential to alleviate the burden and …

Detection of Vitiligo Through Machine Learning and Computer‐Aided Techniques: A Systematic Review

S Tanvir, SA Syed, S Hussain, R Zia… - BioMed Research …, 2024 - Wiley Online Library
Background and Objective: Vitiligo is a chronic skin damage disease, triggered by
differential melanocyte death. Vitiligo (0.5%–1% of the population) is one of the most severe …

Skin image analysis for detection and quantitative assessment of dermatitis, vitiligo and alopecia areata lesions: a systematic literature review

A Kallipolitis, K Moutselos, A Zafeiriou… - BMC Medical Informatics …, 2025 - Springer
Vitiligo, alopecia areata, atopic, and stasis dermatitis are common skin conditions that pose
diagnostic and assessment challenges. Skin image analysis is a promising noninvasive …

A Prototype Machine Learning Pipeline for Assessing and Tracking Keloid Scars

M Abdolahnejad, A Zandi, J Wong, HO Chan, V Lin… - medRxiv, 2024 - medrxiv.org
Dysregulated wound healing, marked by excessive collagen deposition, is the hallmark to
keloid scar formation. Current methods for assessing keloids in clinical settings rely heavily …

Prediction of vitiligo skin disease spreading rate by image processing

D Selvaraj, MM Iqbal… - Research Advances in …, 2024 - taylorfrancis.com
Vitiligo is a condition that affects the victim's both physical and mental health. It affects
approximately 0.5–1% of the global population and is a chronic condition. Vitiligo is a skin …

[PDF][PDF] AI-Enhanced Secure Multi-Party Computation via Secret Sharing: Advancements and Application

S Alia, A Alib, SA Wadhoc, M Jamild… - Organized by: The …, 2024 - researchgate.net
Secure Multi-Party Computation (SMPC) enables multiple parties to collaboratively
determine a function's outputs while preserving its privacy. Recent AI developments have …