research Methods of Transfer Learning for Multiclass Hair Disease Categorization
Transfer learning with three neural network architectures accurately classifies hair diseases.
Search
for
Sort by
Research
12 / 12 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 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 Algorithm with VGG-16 Architecture
The system can accurately classify hair diseases with 94.5% accuracy using a CNN.
research KEBOT: An Artificial Intelligence Based Comprehensive Analysis System for FUE Based Hair Transplantation
The KEBOT system is a highly accurate AI tool for analyzing hair transplants.
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 Investigating Different Deep Learning Models for Classification of Folliculitis
GoogLeNet is the best model for identifying folliculitis.
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 A Perspective on RNAi-Based Biopesticides
RNAi-based biopesticides could be safe and effective for pest control with careful development and risk assessment.
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 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 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.