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Research 24
- 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
- Androgenic Alopecia: Cross-Talk Between Cell Signal Transduction Pathways
- 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
- BaldGraphFormer: An Explainable Deep Learning Framework for Early Baldness Prediction by Integrating Swin Transformer, Graph Attention Networks and Clinical Features
- Weakly-Supervised Hair SEM Microscope Image Segmentation Using a Priori Structure Information
- 448 Challenges of securing insurance approval for oral tofacitinib treatment of alopecia areata: A multi-institutional retrospective review
- Leveraging deep neural networks to uncover unprecedented levels of precision in the diagnosis of hair and scalp disorders
- Analyse trichoskopischer Bilder mit tiefen neuronalen Netzen zur Diagnose und Aktivitätsbewertung von Alopecia areata – eine retrospektive Studie
- Deep Hair Phenomics: Implications in Endocrinology, Development, and Aging
- Poster Presentations
- A Study on the Development of a Web Platform for Scalp Diagnosis Using EfficientNet
- Skin image analysis for detection and quantitative assessment of dermatitis, vitiligo and alopecia areata lesions: a systematic literature review
- GAN-Based ROI Image Translation Method for Predicting Image after Hair Transplant Surgery
- Integration of Colorimetric Sensing Dyes and Multi‐Substrate Arrays for Food Quality and Safety Monitoring: Design, Optimization, and Analysis
- Radiomics and radiogenomics in ovarian cancer: a review with a focus on ultrasound applications
- Automating Hair Loss Labels for Universally Scoring Alopecia From Images
- Artificial intelligence in dermatology: а scoping review