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- Hair Disease Classification Using Convolutional Neural Network (CNN) Algorithm with VGG-16 Architecture
- An Approach to Detect Alopecia Areata Hair Disease Using Deep Learning
- Harnessing Deep Learning for Scalp and Hair Disease Classification: A Comparative Study of Convolutional Neural Networks Architectures
- A Hybrid Deep Learning System for Automatic Detection of Scalp Diseases and Hair Fall Stage Classification
- Methods of Transfer Learning for Multiclass Hair Disease Categorization
- Scalp disease analysis using deep learning models
- Optimized polycystic ovarian disease prognosis and classification using AI based computational approaches on multi-modality data
- Hair & Scalp Disease Detection Using Machine Learning & Image Processing
- Artificial neural networks algorithms for prediction of human hair loss related autoimmune disorder problem
- HairSentinel: a time-aware anomaly detection framework for forecasting hairfall trends using temporal fusion transformers
- How good is artificial intelligence (AI) at solving hairy problems? A review of AI applications in hair restoration and hair disorders
- Quantitative analysis and development of alopecia areata classification frameworks
- ScalpEye: A Deep Learning-Based Scalp Hair Inspection and Diagnosis System for Scalp Health
- Skin aging: mechanisms, evaluation, and rejuvenation
- BaldGraphFormer: An Explainable Deep Learning Framework for Early Baldness Prediction by Integrating Swin Transformer, Graph Attention Networks and Clinical Features
- Scalp Disorder Imaging: How Deep Learning and Explainable Artificial Intelligence are Revolutionizing Diagnosis and Treatment
- Sample collecting methods for bacterial community structure analysis of scalp hair: non-invasive swabbing versus intrusive hair shaft cutting
- 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
- Evaluation of Automated Measurement of Hair Density Using Deep Neural Networks
- NLKFill: high-resolution image inpainting with a novel large kernel attention
- A Study on the Development of a Web Platform for Scalp Diagnosis Using EfficientNet
- HairLossMultinet: A Multi Scale Feature Fusion Method Using Deep Learning Approach
- Hair Follicle Classification and Hair Loss Severity Estimation Using Mask R-CNN
- A Novel Fusion Technique for Early Detection of Alopecia Areata Using ResNet-50 and CRSHOG
- Relationship between the bacterial community structures on human hair and scalp
- Innovative approaches to baldness detection and management with artificial intelligence and machine learning
- Gellan gum-based hydrogels support the recreation of the dermal papilla microenvironment
- Skin image analysis for detection and quantitative assessment of dermatitis, vitiligo and alopecia areata lesions: a systematic literature review