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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
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