research Generative Adversarial Networks for Anonymous Acneic Face Dataset Generation
The method creates realistic, anonymous acne face images for research, achieving 97.6% accuracy in classification.
Search
for
Sort by
Research
30 / 52 results 
research Deep Learning-Based Dermatological Condition Detection: A Systematic Review With Recent Methods, Datasets, Challenges, and Future Directions
Deep learning helps detect skin conditions and is advancing dermatology diagnosis and treatment.
research Leveraging Deep Neural Networks to Uncover Unprecedented Levels of Precision in the Diagnosis of Hair and Scalp Disorders
A new AI model diagnoses hair and scalp disorders with 92% accuracy, better than previous models.
research Hair Disease Classification Using Convolutional Neural Network Algorithm with VGG-16 Architecture
The system can accurately classify hair diseases with 94.5% accuracy using a CNN.
research Classification Framework for Healthy Hair and Alopecia Areata: A Machine Learning Approach
Machine learning can accurately identify Alopecia Areata, aiding in early detection and treatment of this hair loss condition.
research Optimizing Skin Disease Diagnosis: Harnessing Online Community Data With Contrastive Learning and Clustering Techniques
Researchers improved a skin disease diagnosis model using online images, achieving up to 49.64% accuracy.
research Hair Follicle Classification and Hair Loss Severity Estimation Using Mask R-CNN
An intelligent system can classify hair follicles and measure hair loss severity with reasonable accuracy.
research How Good Is Artificial Intelligence at Solving Hairy Problems? A Review of AI Applications in Hair Restoration and Hair Disorders
AI is effective in diagnosing and treating hair disorders, including detecting hair loss and scalp conditions with high accuracy, but it should supplement, not replace, doctor-patient interactions.
research Hair and Scalp Disease Detection Using Machine Learning and Image Processing
The machine learning model accurately detected hair loss and scalp diseases using processed images.
research Aspect-Level Drug Reviews Sentiment Analysis Based on Double BiGRU and Knowledge Transfer
A model called PM-DBiGRU was developed for analyzing sentiments in drug reviews, and it performed better than other models, but struggled with complex sentences and situations requiring background knowledge.
research Sparse Haplotype-Based Fine-Scale Local Ancestry Inference at Scale Reveals Recent Selection on Immune Responses
Recent selection on immune response genes was identified across seven ethnicities.
research Research on Hair Removal Algorithm of Dermatoscopic Images Using Maximum Variance Fuzzy Clustering and Optimized Criminisi Algorithm
The new hair removal algorithm for skin images works better for detecting and fixing hair, improving melanoma diagnosis.
research Hair Cluster Detection Model Based on Dermoscopic Images
The new model detects hair clusters more accurately and efficiently, helping with early hair loss treatment and diagnosis.
research Recent Updates of the CRISPR/Cas9 Genome Editing System: Novel Approaches to Regulate Its Spatiotemporal Control by Genetic and Physicochemical Strategies
CRISPR/Cas9 has improved precision and control but still faces clinical challenges.
research Deep Hair Phenomics: Implications in Endocrinology, Development, and Aging
A new tool can analyze hair to detect changes due to hormones, genetics, and aging.
research Alopecia in Women: A 2003 Review
Hair loss in women can be due to abnormal hair growth cycles or damaged hair follicles, with the most common type being androgenetic alopecia; treatment varies by cause, and the psychological impact is significant.
research Genome Array on Differentially Expressed Genes of Skin Tissue in Cashmere Goat at Early Anagen of Cashmere Growth Cycle Using DNA Microarray
Researchers found 24 genes that change significantly and affect cashmere growth in goats; this could help increase cashmere production.
research Impact of Artificial Intelligence on Healthcare
AI is revolutionizing healthcare by improving diagnosis, treatment, and monitoring, but still needs close supervision.
research Challenges of Securing Insurance Approval for Oral Tofacitinib Treatment of Alopecia Areata: A Multi-Institutional Retrospective Review
Getting insurance to cover the hair loss treatment tofacitinib is hard because it's not officially approved for that use.
research Three-Dimensional Reconstructions of Mechanosensory End Organs Suggest a Unifying Mechanism Underlying Dynamic, Light Touch
Dynamic, light touch is sensed through a common mechanism involving Piezo2 channels in sensory axons.
research Glycogen Phosphorylase Inhibitor Promotes Hair Growth via Protecting from Oxidative Stress and Regulating Glycogen Breakdown in Human Hair Follicles
A new compound, HTPI, promotes hair growth by protecting cells from damage and regulating energy use.
research Enhancing Hairfall Prediction: A Comparative Analysis of Individual Algorithms and an Ensemble Method
Combining multiple algorithms predicts hair fall more accurately than using single algorithms.
research Editorial: Progress and Prospects on Skin Imaging Technology, Teledermatology, and Artificial Intelligence in Dermatology
New skin imaging, teledermatology, and AI could become key in future dermatology care.
research Evaluation of Automated Measurement of Hair Density Using Deep Neural Networks
Deep learning can accurately automate hair density measurement, with YOLOv4 performing best.
research Estimating Scalp Moisture In A Hat Using Wearable Sensors
A hat with sensors can measure scalp moisture well, helping with hair care.
research The Microanatomy of Human Skin in Aging
Aging skin shows thinner layers, fewer hair follicles, and new biomarkers like increased space between cells and smaller sebaceous glands.
research Investigating Different Deep Learning Models for Classification of Folliculitis
GoogLeNet is the best model for identifying folliculitis.
research Methods of Transfer Learning for Multiclass Hair Disease Categorization
Transfer learning with three neural network architectures accurately classifies hair diseases.
research Common Hair Loss Disorders
Hair loss affects both genders and can impact well-being, with treatments available for various types.
research FoxN1 in K14 Promoter-Driven Epithelium Is Required for Generation and Maintenance of 3D-Thymus Medulla and Preventing Nude Phenotype in the Skin
FoxN1 gene is crucial for proper thymus structure and normal skin appearance.