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- Formulation characteristics, safety, and accessibility of conditioners for textured hair
- Deep Learning-Based Dermatological Condition Detection: A Systematic Review With Recent Methods, Datasets, Challenges, and Future Directions
- Enhanced Hair Disease Classification Using Deep Learning
- Cosmetic trichology: Hair cosmetics, styling, and their effect on the hair fiber!
- Mucocutaneous manifestations in children with human immunodeficiency virus infection
- Analyse trichoskopischer Bilder mit tiefen neuronalen Netzen zur Diagnose und Aktivitätsbewertung von Alopecia areata – eine retrospektive Studie
- Polyglutamate: Unleashing the Versatility of a Biopolymer for Cosmetic Industry Applications
- Scalp Disease Detection Using Deep Learning: A Hybrid Ensemble Approach with EfficientNetB0, DenseNet121 and MobileNetV2
- Attention Balanced Multi-Dimension Multi-Task Deep Learning for Alopecia Recognition
- FRCNN based Deep Learning for Identification and Classification of Alopecia Areata
- Deep Learning-Powered Hair Disease Diagnosis: A ResNet50 Approach for Scalable and Accurate Classification
- A Comprehensive Survey on Vitiligo Detection Using Deep Learning
- A Hybrid Deep Learning System for Automatic Detection of Scalp Diseases and Hair Fall Stage Classification
- DETECTION OF HAIR FALL AND SCALP DISORDERS THROUGH ML AND IMAGE PROCESSING
- Dermatologic Features of Classic Movie Villains
- Skin image analysis for detection and quantitative assessment of dermatitis, vitiligo and alopecia areata lesions: a systematic literature review
- Hair & Scalp Disease Detection Using Machine Learning & Image Processing
- Cosmetic Dermatology
- Deep Learning Approaches for Hair Disease Classification: A Comparative Analysis of MobileNetV2 and VGG19 Architectures
- Automated early detection of androgenetic alopecia using deep learning on trichoscopic images from a Korean cohort: a retrospective model development and validation study
- Methods of Transfer Learning for Multiclass Hair Disease Categorization
- Hair Disease Classification Using Convolutional Neural Network (CNN) Algorithm with VGG-16 Architecture
- Skin deep: dermatologic challenges in PCOS through the female lifespan
- Diagnosis of Scalp Disorders using Machine Learning and Deep Learning Approach -- A Review
- Automated measurement of hair density and projected apparent width via deep learning–based phototrichogram analysis
- Crusted plaques of the scalp after deep brain stimulation surgery
- Investigating Different Deep learning Models for Classification of Folliculitis
- Classification of Visually Similar Scalp Diseases using Deep Learning: A Hybrid CNN-VIT Approach with Cross-Attention Fusion
- Classification of Visually Similar Scalp Diseases using Deep Learning: A Hybrid CNN-VIT Approach with Cross-Attention Fusion
- Classification of Visually Similar Scalp Diseases using Deep Learning: A Hybrid CNN-VIT Approach with Cross-Attention Fusion