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- Classification Framework for Healthy Hairs and Alopecia Areata: A Machine Learning (ML) Approach
- Quantitative analysis and development of alopecia areata classification frameworks
- An Analysis of Alopecia Areata Classification Framework for Human Hair Loss Based on VGG-SVM Approach
- How different is human hair? A critical appraisal of the reported differences in global hair fibre characteristics and properties towards defining a more relevant framework for hair type classification
- Rethinking pattern hair loss classification in the era of trichoscopy and artificial intelligence
- Deep Learning-based Automatic System for Diagnosis and Classification of Skin Dermatoses
- Artificial Intelligence in Trichoscopy: From Image Classification to Longitudinal Quantitative Hair Phenotyping - A Clinical-Technical Perspective and Validation Roadmap
- Artificial Intelligence in Trichoscopy: From Image Classification to Longitudinal Quantitative Hair Phenotyping - A Clinical-Technical Perspective and Validation Roadmap
- Deep Learning-based Trichoscopic Image Analysis and Quantitative Model for Predicting Basic and Specific Classification in Male Androgenetic Alopecia
- Automated Trichoscopic Analysis for Hair Disorder Classification Using Semantic Segmentation
- Deep Learning-Powered Hair Disease Diagnosis: A ResNet50 Approach for Scalable and Accurate Classification
- A Hybrid Deep Learning System for Automatic Detection of Scalp Diseases and Hair Fall Stage Classification
- Enhanced stratification of male pattern hair loss using AI through novel loss region ratio analysis
- Situation-Specific Purposes and Epistemic Games: A Framework for Teaching the Evaluation of Causal Information
- BaldGraphFormer: An Explainable Deep Learning Framework for Early Baldness Prediction by Integrating Swin Transformer, Graph Attention Networks and Clinical Features
- Phenotype-Specific Lifestyle Prediction for PCOS Using Machine Learning Multi-Class Classification and SHAP Explainability
- Derivation and validation of the Systemic Lupus International Collaborating Clinics classification criteria for systemic lupus erythematosus
- JAK-STAT pathway-associated skin diseases: a refined functional framework for inflammatory skin diseases
- Artificial neural networks algorithms for prediction of human hair loss related autoimmune disorder problem
- Inherited ichthyoses/generalized Mendelian disorders of cornification
- Ribonucleic Acids Coding for the Keratin Complex of Hair
- Machine Learning Approach for Predicting Systemic Lupus Erythematosus in Oman-based Cohort
- A Comprehensive Study on Quasi-Drugs Regulations in Japan and South Korea
- Methods in hair research: how to objectively distinguish between anagen and catagen in human hair follicle organ culture
- An Explainable AI-Based Decision Support System for Teaching and Classifying Hair Loss Types
- Redefining hormone resistance in prostate cancer
- Data-driven strategies for drug repurposing: insights, recommendations, and case studies
- Hidradenitis Suppurativa as a Potential Subtype of Autoinflammatory Keratinization Disease
- HairLossMultinet: A Multi Scale Feature Fusion Method Using Deep Learning Approach
- S2k guideline for the treatment of hidradenitis suppurativa / acne inversa – Short version