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- HairLossMultinet: A Multi Scale Feature Fusion Method Using Deep Learning Approach
- Hair cluster detection model based on dermoscopic images
- A Novel Fusion Technique for Early Detection of Alopecia Areata Using ResNet-50 and CRSHOG
- BaldGraphFormer: An Explainable Deep Learning Framework for Early Baldness Prediction by Integrating Swin Transformer, Graph Attention Networks and Clinical Features
- 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
- Clinicopathologic and molecular characterization of a series of sporadic trichoblastic neoplasms
- KRDQN: An Interpretable Prediction Framework for Adverse Drug Reactions via Knowledge–Graph Reinforced Deep Q-Learning
- A Feature-Preserving Hair Removal Algorithm for Dermoscopy Images
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