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Research 22
- A Novel Fusion Technique for Early Detection of Alopecia Areata Using ResNet-50 and CRSHOG
- Deep Learning-Powered Hair Disease Diagnosis: A ResNet50 Approach for Scalable and Accurate Classification
- 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
- HairLossMultinet: A Multi Scale Feature Fusion Method Using Deep Learning Approach
- Methods of Transfer Learning for Multiclass Hair Disease Categorization
- Investigating Different Deep learning Models for Classification of Folliculitis
- Classification of Visually Similar Scalp Diseases using Deep Learning: A Hybrid CNN-VIT Approach with Cross-Attention Fusion
- Classification of Visually Similar Scalp Diseases using Deep Learning: A Hybrid CNN-VIT Approach with Cross-Attention Fusion
- Classification of Visually Similar Scalp Diseases using Deep Learning: A Hybrid CNN-VIT Approach with Cross-Attention Fusion
- Deep Clustering via Center-Oriented Margin Free-Triplet Loss for Skin Lesion Detection in Highly Imbalanced Datasets
- BaldGraphFormer: An Explainable Deep Learning Framework for Early Baldness Prediction by Integrating Swin Transformer, Graph Attention Networks and Clinical Features
- 448 Challenges of securing insurance approval for oral tofacitinib treatment of alopecia areata: A multi-institutional retrospective review
- Optimizing skin disease diagnosis: harnessing online community data with contrastive learning and clustering techniques
- 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
- Leveraging deep neural networks to uncover unprecedented levels of precision in the diagnosis of hair and scalp disorders
- Automating Hair Loss Labels for Universally Scoring Alopecia From Images
- Artificial intelligence in dermatology: а scoping review
- Hair Follicle Classification and Hair Loss Severity Estimation Using Mask R-CNN
- Radiomics and radiogenomics in ovarian cancer: a review with a focus on ultrasound applications
- Harnessing Microbiome, Bacterial Extracellular Vesicle, and Artificial Intelligence for Polycystic Ovary Syndrome Diagnosis and Management