research Deep Learning Approaches for Hair Disease Classification: A Comparative Analysis of MobileNetV2 and VGG19 Architectures
VGG19 is more accurate, but MobileNetV2 is faster and uses fewer resources.
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30 / 1000+ resultsresearch Optimized VGG19 Architecture for Precise and Efficient Multi-Class Hair Disease Classification
The optimized VGG19 model accurately classifies hair diseases with 98.64% accuracy.
research Harnessing Deep Learning for Scalp and Hair Disease Classification: A Comparative Study of Convolutional Neural Networks Architectures
VGG16 and VGG19 are the most accurate for classifying scalp and hair diseases.
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 HairLossMultinet: A Multi Scale Feature Fusion Method Using Deep Learning Approach
HairLossMultinet accurately classifies hair damage with 98% accuracy but needs a more diverse dataset for broader use.
research Investigating Different Deep learning Models for Classification of Folliculitis
GoogLeNet is the best model for identifying folliculitis.
research A Hybrid Deep Learning System for Automatic Detection of Scalp Diseases and Hair Fall Stage Classification
The system effectively detects scalp diseases and classifies hair fall stages with high precision.
research A Machine Learning-Based Scalp Hair Inspection and Diagnosis System for Scalp Health
The system can automatically identify different hair and scalp conditions using machine learning.
research Methods of Transfer Learning for Multiclass Hair Disease Categorization
Transfer learning with three neural network architectures accurately classifies hair diseases.
research An Approach to Detect Alopecia Areata Hair Disease Using Deep Learning
Deep learning can accurately detect Alopecia Areata with up to 98.3% accuracy.
research Optimized polycystic ovarian disease prognosis and classification using AI based computational approaches on multi-modality data
AI can improve early diagnosis and classification of PCOS, aiding in prevention of related health issues.
research A Comprehensive Survey on Vitiligo Detection Using Deep Learning
Better datasets and methods are needed for reliable vitiligo detection using deep learning.
research Deep Clustering via Center-Oriented Margin Free-Triplet Loss for Skin Lesion Detection in Highly Imbalanced Datasets
The new method improves skin cancer detection in imbalanced datasets.
research AB-MTEDeep Classifier Trained with AAGAN for the Identification and Classification of Alopecia Areata
The AI model accurately classifies Alopecia Areata with 96.94% accuracy.
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 American Society for Laser Medicine and Surgery - 2018 Late-Breaking Abstracts
New treatments and technologies in laser medicine show promise for improving skin conditions, fat reduction, cancer treatment, wound healing, and hair restoration.
research Hair Disease Classification Using Convolutional Neural Network (CNN) Algorithm with VGG-16 Architecture
The system can accurately classify hair diseases with 94.5% accuracy using a CNN.
research Linear immunoglobulin A/immunoglobulin G bullous dermatosis associated with Vogt-Koyanagi-Harada disease
A man had two rare autoimmune diseases that might be connected.
research Cutis Verticis Gyrata Heralding a Diagnosis of Primary Systemic Amyloidosis in a Patient with Cardioembolic Stroke
Recognizing CVG can help diagnose systemic amyloidosis early.
research Recombinant Goat VEGF164 Increases Hair Growth by Painting Process on the Skin of Shaved Mouse
Recombinant goat VEGF164 speeds up hair growth in mice.
research [The effect of cgVEGF164 on the growth of murine hair follicles].
cgVEGF164 boosts hair follicle growth in mice.
research Differential expression of keratin 19 in normal human epithelial tissues revealed by monospecific monoclonal antibodies
research Abstracts
Ablative fractional laser treatment nearly matches the gene reduction effects of topical vismodegib in skin cancer.
research AI06 ALUDWIG: an automated artificial intelligence-based assessment of female androgenic alopecia
ALUDWIG can help standardize female hair loss assessment from a single image.
research Generating LacZ-reporter transgenic mice to identify α1 (XIX) Collagen (Col19a1) expression in Dermal Papilla Cells
Type XIX Collagen is present in specific skin and hair cells during development.
research Immunohistochemical Demonstration of Keratin 19 Expression in Isolated Human Hair Follicles
research Gfp-Expressing Vascularization of Gelfoam® as a Rapid in Vivo Assay of Angiogenesis Stimulators and Inhibitors
The assay quickly identifies substances that increase or decrease blood vessel growth.
research Detection of Meibomian Gland Dysfunction by in vivo Confocal Microscopy Based on Deep Convolutional Neural Network
The model can effectively help diagnose meibomian gland dysfunction automatically.
research Genetic effects of vascular endothelial growth factor and its receptor 2 on feather maturity in three chicken breeds
VEGF and VEGFR-2 genes influence feather maturity, and specific genetic markers can improve chicken breeding.
research An Innovative Scalp-Dyeing Technique with Gentian Violet Solution During Follicular Unit Extraction for White-Haired Follicular Units
A new method using gentian violet dye makes it easier to see and work with white hair in hair transplant surgeries.