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Research 31–60 of 1000+
- Using artificial intelligence to compute Severity of Alopecia Tool scores
- Hair & Scalp Disease Detection Using Machine Learning & Image Processing
- Deep Learning Approaches for Hair Disease Classification: A Comparative Analysis of MobileNetV2 and VGG19 Architectures
- HairLossMultinet: A Multi Scale Feature Fusion Method Using Deep Learning Approach
- ScalpEye: A Deep Learning-Based Scalp Hair Inspection and Diagnosis System for Scalp Health
- BaldGraphFormer: An Explainable Deep Learning Framework for Early Baldness Prediction by Integrating Swin Transformer, Graph Attention Networks and Clinical Features
- Artificial Intelligence Deep Learning Ultrasound Discrimination of Cosmetic Fillers
- An Approach to Detect Alopecia Areata Hair Disease Using Deep Learning
- Predicting Hair Loss with AI: A Deep Learning Framework Combining Genetic and Scalp Health Data
- Attention Balanced Multi-Dimension Multi-Task Deep Learning for Alopecia Recognition
- Deep Learning Based Non-Invasive Framework for Nutritional Deficiency Detection Using Hair and Nail Images
- A DEEP LEARNING APPROACH FOR DIAGNOSIS OF COVID-19 INFECTION AND ITS RELATED FACTORS: A POPULATION-BASED STUDY
- Rapid Screening of Anticoagulation Compounds for Biological Target-Associated Adverse Effects Using a Deep-Learning Framework in the Management of Atrial Fibrillation
- KRDQN: An Interpretable Prediction Framework for Adverse Drug Reactions via Knowledge–Graph Reinforced Deep Q-Learning
- Optimized VGG19 Architecture for Precise and Efficient Multi-Class Hair Disease Classification
- Hair Disease Classification Using Convolutional Neural Network (CNN) Algorithm with VGG-16 Architecture
- Convolutional Neural Networks for Non-Invasive Diagnosis of Androgenetic Alopecia using Dermoscopic Hair Images
- Analysis of trichoscopic images using deep neural networks for the diagnosis and activity assessment of alopecia areata – a retrospective study
- Evaluation of Automated Measurement of Hair Density Using Deep Neural Networks
- Quantitative analysis and development of alopecia areata classification frameworks
- Hair and Scalp Disease Detection using Machine Learning and Image Processing
- Detection of Meibomian Gland Dysfunction by in vivo Confocal Microscopy Based on Deep Convolutional Neural Network
- Vitadetect : Vitamin Deficiency Detection
- How good is artificial intelligence (AI) at solving hairy problems? A review of AI applications in hair restoration and hair disorders
- Efficient integration of human skin single-cell RNA sequencing data
- Identification of Drug-Disease Associations Using Information of Molecular Structures and Clinical Symptoms via Deep Convolutional Neural Network
- Hair and Scalp Disease Detection using Machine Learning and Image Processing
- DNN-DTIs: improved drug-target interactions prediction using XGBoost feature selection and deep neural network
- Inferring Spatially Resolved Transcriptomics Data from Whole Slide Images for the Assessment of Colorectal Tumor Metastasis: A Feasibility Study
- Detecting shortcut learning for fair medical AI using shortcut testing