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Research 31–60 of 205
- 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
- Vitadetect : Vitamin Deficiency Detection
- Investigating Different Deep learning Models for Classification of Folliculitis
- 203 Automated skin surface phenotype for melanoma risk assessment
- Hair and Scalp Disease Detection using Machine Learning and Image Processing
- AB-MTEDeep Classifier Trained with AAGAN for the Identification and Classification of Alopecia Areata
- FRCNN based Deep Learning for Identification and Classification of Alopecia Areata
- HERBSNAP: Advanced Classification of Bhringaraja and Honegone Herbal Species
- Inferring Spatially Resolved Transcriptomics Data from Whole Slide Images for the Assessment of Colorectal Tumor Metastasis: A Feasibility Study
- NLKFill: high-resolution image inpainting with a novel large kernel attention
- 574 A deep learning classifier for the analysis of tiger tail banding in trichothiodystrophy
- A Comprehensive Survey on Vitiligo Detection Using Deep Learning
- HairLossMultinet: A Multi Scale Feature Fusion Method Using Deep Learning Approach
- Hair and Scalp Disease Detection using Machine Learning and Image Processing
- Automated Classification of Male and Female Pattern Hair Loss Stages Using EfficientNet According to the Hamilton-Norwood and Ludwig Scale
- Leveraging deep neural networks to uncover unprecedented levels of precision in the diagnosis of hair and scalp disorders
- Evaluation of Automated Measurement of Hair Density Using Deep Neural Networks
- Hair cluster detection model based on dermoscopic images
- An Approach to Detect Alopecia Areata Hair Disease Using Deep Learning
- A Novel Fusion Technique for Early Detection of Alopecia Areata Using ResNet-50 and CRSHOG
- Analyse trichoskopischer Bilder mit tiefen neuronalen Netzen zur Diagnose und Aktivitätsbewertung von Alopecia areata – eine retrospektive Studie
- BaldGraphFormer: An Explainable Deep Learning Framework for Early Baldness Prediction by Integrating Swin Transformer, Graph Attention Networks and Clinical Features
- MSF-VMDNet for multi class segmentation of skin cancer whole slide images using a multi frequency dual encoder network
- Current Understanding of the Pathways Involved in Adult Stem and Progenitor Cell Migration for Tissue Homeostasis and Repair
- Drug Repositioning with GraphSAGE and Clustering Constraints Based on Drug and Disease Networks
- Effective holistic characterization of small molecule effects using heterogeneous biological networks
- An Integrated Approach for Diabetes Detection Using Fisher Score Feature Selection and Capsule Network
- Multi-omics and AI-driven advances in miRNA-mediated hair follicle regulation in cashmere goats
- Knockout of the ING5 epigenetic regulator confirms roles in stem cell maintenance and tumor suppression in vivo