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Research 23
- Deep Learning Approaches for Hair Disease Classification: A Comparative Analysis of MobileNetV2 and VGG19 Architectures
- Optimized VGG19 Architecture for Precise and Efficient Multi-Class Hair Disease Classification
- Harnessing Deep Learning for Scalp and Hair Disease Classification: A Comparative Study of Convolutional Neural Networks Architectures
- Leveraging deep neural networks to uncover unprecedented levels of precision in the diagnosis of hair and scalp disorders
- HairLossMultinet: A Multi Scale Feature Fusion Method Using Deep Learning Approach
- Investigating Different Deep learning Models for Classification of Folliculitis
- A Hybrid Deep Learning System for Automatic Detection of Scalp Diseases and Hair Fall Stage Classification
- A Machine Learning-Based Scalp Hair Inspection and Diagnosis System for Scalp Health
- Methods of Transfer Learning for Multiclass Hair Disease Categorization
- An Approach to Detect Alopecia Areata Hair Disease Using Deep Learning
- Scalp disease analysis using deep learning models
- Optimized polycystic ovarian disease prognosis and classification using AI based computational approaches on multi-modality data
- Deep Clustering via Center-Oriented Margin Free-Triplet Loss for Skin Lesion Detection in Highly Imbalanced Datasets
- AB-MTEDeep Classifier Trained with AAGAN for the Identification and Classification of Alopecia Areata
- American Society for Laser Medicine and Surgery - 2018 Late-Breaking Abstracts
- A Novel Fusion Technique for Early Detection of Alopecia Areata Using ResNet-50 and CRSHOG
- HairSentinel: a time-aware anomaly detection framework for forecasting hairfall trends using temporal fusion transformers
- An Early Hair Loss Detection and Prediction Method Based on Machine Learning
- KEBOT: An Artificial Intelligence Based Comprehensive Analysis System for FUE Based Hair Transplantation
- Skin image analysis for detection and quantitative assessment of dermatitis, vitiligo and alopecia areata lesions: a systematic literature review
- Integration of Colorimetric Sensing Dyes and Multi‐Substrate Arrays for Food Quality and Safety Monitoring: Design, Optimization, and Analysis
- Harnessing Microbiome, Bacterial Extracellular Vesicle, and Artificial Intelligence for Polycystic Ovary Syndrome Diagnosis and Management
- Artificial intelligence in dermatology: а scoping review