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- ScalpEye: A Deep Learning-Based Scalp Hair Inspection and Diagnosis System for Scalp Health
- FRCNN based Deep Learning for Identification and Classification of Alopecia Areata
- Ensemble of pre-learned deep learning model and an optimized LSTM for Alopecia Areata classification
- Predicting Hair Loss with AI: A Deep Learning Framework Combining Genetic and Scalp Health Data
- Artificial Intelligence Deep Learning Ultrasound Discrimination of Cosmetic Fillers
- Deep Learning Approaches for Hair Disease Classification: A Comparative Analysis of MobileNetV2 and VGG19 Architectures
- Hair and scalp disease detection using deep learning
- Diagnosis of Scalp Disorders using Machine Learning and Deep Learning Approach -- A Review
- Deep Learning-Based Dermatological Condition Detection: A Systematic Review With Recent Methods, Datasets, Challenges, and Future Directions
- Automated measurement of hair density and projected apparent width via deep learning–based phototrichogram analysis
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