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- Attention Balanced Multi-Dimension Multi-Task Deep Learning for Alopecia Recognition
- A Quantitative Measurement Method for Nuclear-Pleomorphism Scoring in Breast Cancer
- A machine learning approach for non-invasive PCOS diagnosis from ultrasound and clinical features
- BaldGraphFormer: An Explainable Deep Learning Framework for Early Baldness Prediction by Integrating Swin Transformer, Graph Attention Networks and Clinical Features
- ScalpEye: A Deep Learning-Based Scalp Hair Inspection and Diagnosis System for Scalp Health
- Spectrum and signals of medication-associated cognitive disorder: a comprehensive disproportionality analysis with cross-database validation
- AB-MTEDeep Classifier Trained with AAGAN for the Identification and Classification of Alopecia Areata
- Endocrine Treatment of Transsexual Persons:An Endocrine Society Clinical Practice Guideline
- Quantitative analysis and development of alopecia areata classification frameworks
- A Genome-Wide Association Study and Machine-Learning Algorithm Analysis on the Prediction of Facial Phenotypes by Genotypes in Korean Women
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