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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
- Hair Tone Estimation at Roots via Imaging Device with Embedded Deep Learning
- Harnessing Deep Learning for Scalp and Hair Disease Classification: A Comparative Study of Convolutional Neural Networks Architectures
- Optimizing skin disease diagnosis: harnessing online community data with contrastive learning and clustering techniques
- Artificial Intelligence in Hair Disorders: A Narrative Review
- Deep Clustering via Center-Oriented Margin Free-Triplet Loss for Skin Lesion Detection in Highly Imbalanced Datasets
- Optimized polycystic ovarian disease prognosis and classification using AI based computational approaches on multi-modality data
- AB-MTEDeep Classifier Trained with AAGAN for the Identification and Classification of Alopecia Areata
- Hair & Scalp Disease Detection Using Machine Learning & Image Processing
- How good is artificial intelligence (AI) at solving hairy problems? A review of AI applications in hair restoration and hair disorders
- Diagnosis of Scalp Disorders using Machine Learning and Deep Learning Approach -- A Review
- Herbal Approaches for the Management of Premature Hair Greying: Mechanisms, Phytoconstituents and Delivery Strategies
- DETECTION OF HAIR FALL AND SCALP DISORDERS THROUGH ML AND IMAGE PROCESSING
- Understanding Polycystic Ovary Syndrome
- Generative adversarial networks for anonymous acneic face dataset generation
- Scalp Disorder Imaging: How Deep Learning and Explainable Artificial Intelligence are Revolutionizing Diagnosis and Treatment
- 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
- 42063 Image Quality Assessment using Convolutional Neural Network in Clinical Skin Images
- Leveraging deep neural networks to uncover unprecedented levels of precision in the diagnosis of hair and scalp disorders
- BroadAMP-GPT: AI-Driven generation of broad-spectrum antimicrobial peptides for combating multidrug-resistant ESKAPE pathogens