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- ScalpEye: A Deep Learning-Based Scalp Hair Inspection and Diagnosis System for Scalp Health
- Hair cluster detection model based on dermoscopic images
- From Diagnosis to Prognosis: A Scoping Review of Artificial Intelligence in Alopecia Research
- A Feature-Preserving Hair Removal Algorithm for Dermoscopy Images
- A Comparative Analysis of Large Language Model Accuracy for Image-Based Hair Disease Identification in Diverse Skin Tones
- Deep Learning Based Non-Invasive Framework for Nutritional Deficiency Detection Using Hair and Nail Images
- Research on hair removal algorithm of dermatoscopic images based on maximum variance fuzzy clustering and optimization Criminisi algorithm
- An Analysis of Alopecia Areata Classification Framework for Human Hair Loss Based on VGG-SVM Approach
- Hair and scalp disease detection using deep learning
- Deep Learning-Based Dermatological Condition Detection: A Systematic Review With Recent Methods, Datasets, Challenges, and Future Directions
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