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Research 31–60 of 1000+
- Hair and scalp disease detection using deep learning
- Scalp Disorder Imaging: How Deep Learning and Explainable Artificial Intelligence are Revolutionizing Diagnosis and Treatment
- Image 1_Resident T cell activation leads to human hair follicle immune privilege loss ex vivo, which is prevented by the DHODH inhibitor farudodstat: relevance for alopecia areata.pdf
- Research on hair removal algorithm of dermatoscopic images based on maximum variance fuzzy clustering and optimization Criminisi algorithm
- Skin image analysis for detection and quantitative assessment of dermatitis, vitiligo and alopecia areata lesions: a systematic literature review
- Clinical recognition and management of alopecia in women of color,
- GAN-Based ROI Image Translation Method for Predicting Image after Hair Transplant Surgery
- Deep Clustering via Center-Oriented Margin Free-Triplet Loss for Skin Lesion Detection in Highly Imbalanced Datasets
- Trichoscopy of Alopecia Areata: Hair Loss Feature Extraction and Computation Using Grid Line Selection and Eigenvalue
- Optimizing skin disease diagnosis: harnessing online community data with contrastive learning and clustering techniques
- BaldGraphFormer: An Explainable Deep Learning Framework for Early Baldness Prediction by Integrating Swin Transformer, Graph Attention Networks and Clinical Features
- Research on Mental Stress Recognition of Depressive Disorders in Patients With Androgenic Alopecia Based on Machine Learning and Fuzzy K-Means Clustering
- A pilot study to explore postpartum body image and resumed menstruation
- Trichoscopy and Computational Models for Hair and Scalp Disorders: Image Analysis, Quantification, and Clinical Integration
- Alopecia areata: recognition, diagnosis and management
- Association of Anti-Signal Recognition Particle Myopathy with Systemic Lupus Erythematosus
- Scalp demodicosis: Trichoscopy unveiling the overlooked
- On the geographies of hair: Exploring the entangled margins of the bordered body
- Deep Learning-based Trichoscopic Image Analysis and Quantitative Model for Predicting Basic and Specific Classification in Male Androgenetic Alopecia
- Development and application of emotion recognition technology — a systematic literature review
- NLKFill: high-resolution image inpainting with a novel large kernel attention
- Molecular mechanism of ligand recognition and activation of lysophosphatidic acid receptor LPAR6
- Understanding, recognizing, and managing toxicities of targeted anticancer therapies
- Automating Hair Loss Labels for Universally Scoring Alopecia From Images
- The Impact of Social Botox on Adolescent Self-Image: A Cross-Cultural Review
- CXCL12+ dermal fibroblasts promote neutrophil recruitment and host defense by recognition of IL-17
- SnapshotDx Quiz: February 2018
- 1040 Photographing alopecia - How many pixels are needed for clinical evaluation?
- Artificial neural networks algorithms for prediction of human hair loss related autoimmune disorder problem
- Hidradenitis suppurativa: A folliculotropic disease of innate immune barrier dysfunction?