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- Hair Disease Classification Using Convolutional Neural Network (CNN) Algorithm with VGG-16 Architecture
- An Approach to Detect Alopecia Areata Hair Disease Using Deep Learning
- Harnessing Deep Learning for Scalp and Hair Disease Classification: A Comparative Study of Convolutional Neural Networks Architectures
- A Hybrid Deep Learning System for Automatic Detection of Scalp Diseases and Hair Fall Stage Classification
- Methods of Transfer Learning for Multiclass Hair Disease Categorization
- Scalp disease analysis using deep learning models
- Optimized polycystic ovarian disease prognosis and classification using AI based computational approaches on multi-modality data
- Hair & Scalp Disease Detection Using Machine Learning & Image Processing
- Artificial neural networks algorithms for prediction of human hair loss related autoimmune disorder problem
- HairSentinel: a time-aware anomaly detection framework for forecasting hairfall trends using temporal fusion transformers
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