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- Advancing Hair Disease Diagnostics: A Deep Learning Approach Using Inception-ResNet v2 for Multi-Class Classification
- ScalpEye: A Deep Learning-Based Scalp Hair Inspection and Diagnosis System for Scalp Health
- Quantitative analysis and development of alopecia areata classification frameworks
- Leveraging deep neural networks to uncover unprecedented levels of precision in the diagnosis of hair and scalp disorders
- AIMP1-Derived Peptide Secreted from Hair Follicle Stem Cells Promotes Hair Growth by Activating Dermal Papilla Cells
- Generative adversarial networks for anonymous acneic face dataset generation
- How good is artificial intelligence (AI) at solving hairy problems? A review of AI applications in hair restoration and hair disorders
- Diagnosis of Scalp Disorders using Machine Learning and Deep Learning Approach -- A Review
- Scalp Disorder Imaging: How Deep Learning and Explainable Artificial Intelligence are Revolutionizing Diagnosis and Treatment
- 448 Challenges of securing insurance approval for oral tofacitinib treatment of alopecia areata: A multi-institutional retrospective review
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