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Research 31–60 of 1000+
- 200 Deep learning model to predict sentinel lymph node status in melanoma patients
- 574 A deep learning classifier for the analysis of tiger tail banding in trichothiodystrophy
- Neurospectrum: A Geometric and Topological Deep Learning Framework for Uncovering Spatiotemporal Signatures in Neural Activity
- Rapid Screening of Anticoagulation Compounds for Biological Target-Associated Adverse Effects Using a Deep-Learning Framework in the Management of Atrial Fibrillation
- Advancing Hair Disease Diagnostics: A Deep Learning Approach Using Inception-ResNet v2 for Multi-Class Classification
- Scalp disease analysis using deep learning models
- Amplitude-guided deep reinforcement learning for semi-supervised layer segmentation
- KRDQN: An Interpretable Prediction Framework for Adverse Drug Reactions via Knowledge–Graph Reinforced Deep Q-Learning
- 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
- A Comprehensive Survey on Vitiligo Detection Using Deep Learning
- How Can Clinicians Leverage Vibe Coding for Machine Learning and Deep Learning Research?
- Hair Tone Estimation at Roots via Imaging Device with Embedded Deep Learning
- Evaluation of Automated Measurement of Hair Density Using Deep Neural Networks
- Exploring machine learning strategies for single-cell transcriptomic analysis in wound healing
- Hair and Scalp Disease Detection using Machine Learning and Image Processing
- Hair & Scalp Disease Detection Using Machine Learning & Image Processing
- Leveraging deep neural networks to uncover unprecedented levels of precision in the diagnosis of hair and scalp disorders
- Optimizing skin disease diagnosis: harnessing online community data with contrastive learning and clustering techniques
- DEEP REVIEW ON ALOPECIA AREATA DIAGNOSIS FOR HAIR LOSS-RELATED AUTOIMMUNE DISORDER PROBLEM
- Methods of Transfer Learning for Multiclass Hair Disease Categorization
- Hair Color Digitization through Imaging and Deep Inverse Graphics
- PandaOmics: An AI-Driven Platform for Therapeutic Target and Biomarker Discovery
- Past, present, and future of global research on artificial intelligence applications in dermatology: A bibliometric analysis
- Skin image analysis for detection and quantitative assessment of dermatitis, vitiligo and alopecia areata lesions: a systematic literature review
- Using artificial intelligence to compute Severity of Alopecia Tool scores
- Knowledge Mapping of Drug Repositioning’s Theme and Development
- 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