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.
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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 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 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 Methods of Transfer Learning for Multiclass Hair Disease Categorization
Transfer learning with three neural network architectures accurately classifies hair diseases.
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6 / 20 results- 6Trichologist
Vicki, 45 Years Experience
Incomplete name
Milwaukee, WI, United States
- 67SMP Specialist
Fuego Fadez
Henderson, NV, United States
- 65
Hair Transplant SurgeonDr. Vaggu Anand Kumar
Telangana, Telangana, India
- 40Hair Transplant Surgeon
Dr. VK Singh, MBBS, D.ORTHO
Kanpur, Uttar Pradesh, India
- 65
SMP SpecialistVic Cortes
Lancaster, PA, United States
- 32Trichologist
Vicki Lumpkin
Fort Worth, TX, United States
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