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- Hair Follicle Classification and Hair Loss Severity Estimation Using Mask R-CNN
- Quantitative analysis and development of alopecia areata classification frameworks
- Predicting Hair Loss with AI: A Deep Learning Framework Combining Genetic and Scalp Health Data
- Hair and scalp disease detection using deep learning
- Deep Learning Based Non-Invasive Framework for Nutritional Deficiency Detection Using Hair and Nail Images
- From Diagnosis to Prognosis: A Scoping Review of Artificial Intelligence in Alopecia Research
- Convolutional Neural Networks for Non-Invasive Diagnosis of Androgenetic Alopecia using Dermoscopic Hair Images
- 203 Automated skin surface phenotype for melanoma risk assessment
- ScalpEye: A Deep Learning-Based Scalp Hair Inspection and Diagnosis System for Scalp Health
- NLKFill: high-resolution image inpainting with a novel large kernel attention
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