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- Diagnosis of Scalp Disorders using Machine Learning and Deep Learning Approach -- A Review
- Inferring Spatially Resolved Transcriptomics Data from Whole Slide Images for the Assessment of Colorectal Tumor Metastasis: A Feasibility Study
- Harnessing Deep Learning for Scalp and Hair Disease Classification: A Comparative Study of Convolutional Neural Networks Architectures
- Generative adversarial networks for anonymous acneic face dataset generation
- Artificial neural networks algorithms for prediction of human hair loss related autoimmune disorder problem
- Deep Clustering via Center-Oriented Margin Free-Triplet Loss for Skin Lesion Detection in Highly Imbalanced Datasets
- Trichoscopy of Alopecia Areata: Hair Loss Feature Extraction and Computation Using Grid Line Selection and Eigenvalue
- Hair & Scalp Disease Detection Using Machine Learning & Image Processing
- Quantitative analysis and development of alopecia areata classification frameworks
- Hair and scalp disease detection using deep learning
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