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Research 91–120 of 843
- Folliculosebaceous neoplasms: A review of clinical and histological features
- Multi-Class Support Vector Machine Classification for Detecting Alopecia Areata and Scalp Diseases
- HOW AI CAN SUPPORT FOLLICULAR LYMPHOMA DIAGNOSIS
- Geometric classification of scalp hair for valid drug testing, 6 more reliable than 8 hair curl groups
- Anti-Müllerian hormone confirms the novel classification of female functional androgenization including polycystic ovary syndrome
- A discriminant multi-scale histopathology descriptor using dictionary learning
- A new classification of pattern hair loss that is universal for men and women: Basic and specific (BASP) classification
- Elastic tissue in scars and alopecia
- Ensemble of pre-learned deep learning model and an optimized LSTM for Alopecia Areata classification
- Development of a new classification and scoring system for scalp conditions: Scalp Photographic Index (SPI)
- Deep Learning-Powered Hair Disease Diagnosis: A ResNet50 Approach for Scalable and Accurate Classification
- Hair Disease Classification Using Convolutional Neural Network (CNN) Algorithm with VGG-16 Architecture
- Attention Balanced Multi-Dimension Multi-Task Deep Learning for Alopecia Recognition
- Frontal fibrosing alopecia
- Melatonin Increases Drought Resistance through Regulating the Fine Root and Root Hair Morphology of Wheat Revealed with RhizoPot
- Hidradenitis Suppurativa as a Potential Subtype of Autoinflammatory Keratinization Disease
- Alopecias in lupus erythematosus
- Nilontinib induced keratosis pilaris atrophicans
- ANTI-CANCER MEDICINS (CLASSIFICATION AND MECHANISMS OF ACTION)
- Quantitative analysis and development of alopecia areata classification frameworks
- Optimizing skin disease diagnosis: harnessing online community data with contrastive learning and clustering techniques
- Methods of Transfer Learning for Multiclass Hair Disease Categorization
- Proposal for Clinical Classification of Cutaneous Manifestations in Covid-19 and in Post Vaccination Against Sars-Cov-2: An Observational Study
- Scalp disease analysis using deep learning models
- 572 Defining chronic wound types in recessive dystrophic epidermolysis bullosa patients for clinical outcome assessment
- Optimized VGG19 Architecture for Precise and Efficient Multi-Class Hair Disease Classification
- Closing the AI generalization gap by adjusting for dermatology condition distribution differences across clinical settings
- In response to the letter to the editor by Soha Ghanian et al. re our publication “Shorter androgen receptor polyQ alleles protect against life-threatening COVID-19 disease in European males”
- Shape Variability and Classification of Human Hair: A Worldwide Approach
- Advancing Hair Disease Diagnostics: A Deep Learning Approach Using Inception-ResNet v2 for Multi-Class Classification