1 citations
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November 2024 VGG19 is more accurate, but MobileNetV2 is faster and uses fewer resources.
The system effectively detects scalp diseases and classifies hair fall stages with high precision.
January 2026 in “ITM Web of Conferences” Better datasets and methods are needed for reliable vitiligo detection using deep learning.
1 citations
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August 2023 in “arXiv (Cornell University)” Deep learning effectively diagnoses scalp disorders, but improvements are needed.
The method creates realistic, anonymous acne face images for research, achieving 97.6% accuracy in classification.