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- Prediction of Alopecia Areata using CNN
- 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
- Hair Disease Classification Using Convolutional Neural Network (CNN) Algorithm with VGG-16 Architecture
- CNN-KNN Model for Assessing Hair Health in Telogen Effluvium
- Hair Follicle Classification and Hair Loss Severity Estimation Using Mask R-CNN
- Ensemble of pre-learned deep learning model and an optimized LSTM for Alopecia Areata classification
- Artificial neural networks algorithms for prediction of human hair loss related autoimmune disorder problem
- Hair & Scalp Disease Detection Using Machine Learning & Image Processing
- Hair Tone Estimation at Roots via Imaging Device with Embedded Deep Learning
- Quantitative analysis and development of alopecia areata classification frameworks
- Predicting Hair Loss with AI: A Deep Learning Framework Combining Genetic and Scalp Health Data
- Diagnosis of Scalp Disorders using Machine Learning and Deep Learning Approach -- A Review
- Automating Hair Loss Labels for Universally Scoring Alopecia From Images
- Deep Learning Approaches for Hair Disease Classification: A Comparative Analysis of MobileNetV2 and VGG19 Architectures
- Hair and scalp disease detection using deep learning
- Vitadetect : Vitamin Deficiency Detection
- A Hybrid Deep Learning System for Automatic Detection of Scalp Diseases and Hair Fall Stage Classification
- DETECTION OF HAIR FALL AND SCALP DISORDERS THROUGH ML AND IMAGE PROCESSING
- BaldPredict: AI-Driven Prediction Model for Alopecia Areata
- Methods of Transfer Learning for Multiclass Hair Disease Categorization
- Investigating Different Deep learning Models for Classification of Folliculitis
- Generative adversarial networks for anonymous acneic face dataset generation
- 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
- Scalp disease analysis using deep learning models