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Research 601–630 of 1000+
- A Comprehensive Survey on Vitiligo Detection Using Deep Learning
- A Machine Learning-Based Scalp Hair Inspection and Diagnosis System for Scalp Health
- High-Precision On-line Total Phenolic Compounds Analysis Oxidized by Folin Ciocalteu: Application to Ziziphus Jujuba Extract
- A Critical Evaluation of Evaluations for Long-form Question Answering
- Histoire du th\'eor\`eme de Jordan de la d\'ecomposition matricielle (1870-1930)
- The repression of mètis within digital organizations
- LabeledIn: Cataloging labeled indications for human drugs
- The Hair Cell Analysis Toolbox: A machine learning-based whole cochlea analysis pipeline
- Classification of Visually Similar Scalp Diseases using Deep Learning: A Hybrid CNN-VIT Approach with Cross-Attention Fusion
- A Critical Evaluation of Evaluations for Long-form Question Answering
- Pre-trained classification of scalp conditions using image processing
- Skin image analysis for detection and quantitative assessment of dermatitis, vitiligo and alopecia areata lesions: a systematic literature review
- Progress in the Computer‐Aided Analysis in Multiple Aspects of Nanocatalysis Research
- Automating Hair Loss Labels for Universally Scoring Alopecia From Images
- Scalp cooling versus standard cold-cap in preventing chemotherapy-induced alopecia in patients with localized breast cancer: ICELAND protocol, a randomized controlled trial and economic evaluation
- Integrating Biomarkers from Correlation Analysis and Metric Learning for Hair Loss Classification
- A Comprehensive Review of Alopecia Areata Detection Using Self-Supervised Auto ML Models: Systematic Insights and Emerging Challenges
- From laboratory to operating room: Innovative use of manual blood cell counting machine for counting follicular grafts
- The human hair follicle, a bistable organ?
- Detection of Meibomian Gland Dysfunction by in vivo Confocal Microscopy Based on Deep Convolutional Neural Network
- Advancing Hair Disease Diagnostics: A Deep Learning Approach Using Inception-ResNet v2 for Multi-Class Classification
- Bioprinting of Hair Follicle Germs for Hair Regenerative Medicine
- Critical study of hair growth analysis with computer-assisted methods
- 1040 Photographing alopecia - How many pixels are needed for clinical evaluation?
- Deep Learning-Powered Hair Disease Diagnosis: A ResNet50 Approach for Scalable and Accurate Classification
- TrichoScan: combining epiluminescence microscopy with digital image analysis for the measurement of hair growth in vivo.
- TrichoScan
- Research on hair removal algorithm of dermatoscopic images based on maximum variance fuzzy clustering and optimization Criminisi algorithm
- Role of Platelet-rich Plasma in the Management of Androgenetic Alopecia
- Skinformatics: Navigating the big data landscape of dermatology