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Research 721–750 of 1000+
- Hair & Scalp Disease Detection Using Machine Learning & Image Processing
- Lineage‐specific requirements of Alx4 function in craniofacial and hair development
- Hair Tone Estimation at Roots via Imaging Device with Embedded Deep Learning
- SNP variation in male pattern hair loss in Russians with different dihydrotestosterone levels
- Quantitative analysis and development of alopecia areata classification frameworks
- A Novel Fusion Technique for Early Detection of Alopecia Areata Using ResNet-50 and CRSHOG
- Hair and scalp disease detection using deep learning
- Diagnosis of Scalp Disorders using Machine Learning and Deep Learning Approach -- A Review
- Automating Hair Loss Labels for Universally Scoring Alopecia From Images
- 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
- Vitadetect : Vitamin Deficiency Detection
- PEDL-XAI: A Hybrid Probabilistic Ensemble Deep Learning Approach for Hair Disorder Diagnosis
- Trichoscopy and Computational Models for Hair and Scalp Disorders: Image Analysis, Quantification, and Clinical Integration
- Deep Learning Based Non-Invasive Framework for Nutritional Deficiency Detection Using Hair and Nail Images
- DETECTION OF HAIR FALL AND SCALP DISORDERS THROUGH ML AND IMAGE PROCESSING
- BaldPredict: AI-Driven Prediction Model for Alopecia Areata
- Automated early detection of androgenetic alopecia using deep learning on trichoscopic images from a Korean cohort: a retrospective model development and validation study
- Generative adversarial networks for anonymous acneic face dataset generation
- Methods of Transfer Learning for Multiclass Hair Disease Categorization
- Investigating Different Deep learning Models for Classification of Folliculitis
- An Approach to Detect Alopecia Areata Hair Disease Using Deep Learning
- BRITISH ASSOCIATION OF DERMATOLOGY.
- Deep Learning-based Trichoscopic Image Analysis and Quantitative Model for Predicting Basic and Specific Classification in Male Androgenetic Alopecia
- AB-MTEDeep Classifier Trained with AAGAN for the Identification and Classification of Alopecia Areata
- Hair and Scalp Disease Detection using Machine Learning and Image Processing
- MALE-PATTERN HAIR LOSS — A SUPRAORBITAL NERVE ENTRAPMENT SYNDROME?
- CZAS TO SZTUCZNA INTELIGENCJA: OD TEORII DO ROZWIĄZAŃ RATUJĄCYCH ŻYCIE
- A comparative study of linear and nonlinear ANNs as classifiers of animal hair fibers