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- 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
- Dermacen Analytica: A Novel Methodology Integrating Multi-Modal Large Language Models with Machine Learning in tele-dermatology
- ROBOTIC SURGERY – PAST, PRESENT AND FUTURE
- BaldGraphFormer: An Explainable Deep Learning Framework for Early Baldness Prediction by Integrating Swin Transformer, Graph Attention Networks and Clinical Features
- NAD⁺ Biology in Ageing and Chronic Disease: Mechanisms and Evidence across Skin, Fertility, Osteoarthritis, Hearing and Vision Loss, Gut Health, Cardiovascular–Hepatic Metabolism, Neurological Disorders, and Muscle
- MSF-VMDNet for multi class segmentation of skin cancer whole slide images using a multi frequency dual encoder network
- Weakly-Supervised Hair SEM Microscope Image Segmentation Using a Priori Structure Information
- HairSentinel: a time-aware anomaly detection framework for forecasting hairfall trends using temporal fusion transformers
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