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- Deep Learning-based Trichoscopic Image Analysis and Quantitative Model for Predicting Basic and Specific Classification in Male Androgenetic Alopecia
- Automated early detection of androgenetic alopecia using deep learning on trichoscopic images from a Korean cohort: a retrospective model development and validation study
- Ensemble of pre-learned deep learning model and an optimized LSTM for Alopecia Areata classification
- Investigating Different Deep learning Models for Classification of Folliculitis
- Automated early detection of androgenetic alopecia using deep learning on trichoscopic images from a Korean cohort: a retrospective model development and validation study
- 200 Deep learning model to predict sentinel lymph node status in melanoma patients
- DEEP REINFORCEMENT LEARNING FOR SCALABLE CONTROL OF BOOLEAN MODELS IN THE CONTEXT OF CELLULAR REPROGRAMMING
- Scalp disease analysis using deep learning models
- Scalp Disease Detection Using Deep Learning: A Hybrid Ensemble Approach with EfficientNetB0, DenseNet121 and MobileNetV2
- Scalp Disorder Imaging: How Deep Learning and Explainable Artificial Intelligence are Revolutionizing Diagnosis and Treatment
- Optimizing skin disease diagnosis: harnessing online community data with contrastive learning and clustering techniques
- Exploring machine learning strategies for single-cell transcriptomic analysis in wound healing
- Leveraging deep neural networks to uncover unprecedented levels of precision in the diagnosis of hair and scalp disorders
- Diagnosis of Scalp Disorders using Machine Learning and Deep Learning Approach -- A Review
- Severity Prediction of Hair Loss in Alopecia Areata with Hybrid Deep Learning Architecture
- Deep Learning-based Automatic System for Diagnosis and Classification of Skin Dermatoses
- 574 A deep learning classifier for the analysis of tiger tail banding in trichothiodystrophy
- Deep Learning-Powered Hair Disease Diagnosis: A ResNet50 Approach for Scalable and Accurate Classification
- Enhanced Hair Disease Classification Using Deep Learning
- FRCNN based Deep Learning for Identification and Classification of Alopecia Areata
- Hair Color Digitization through Imaging and Deep Inverse Graphics
- Advancing Hair Disease Diagnostics: A Deep Learning Approach Using Inception-ResNet v2 for Multi-Class Classification
- A Hybrid Deep Learning System for Automatic Detection of Scalp Diseases and Hair Fall Stage Classification
- PEDL-XAI: A Hybrid Probabilistic Ensemble Deep Learning Approach for Hair Disorder Diagnosis
- Harnessing Deep Learning for Scalp and Hair Disease Classification: A Comparative Study of Convolutional Neural Networks Architectures
- Classification of Visually Similar Scalp Diseases using Deep Learning: A Hybrid CNN-VIT Approach with Cross-Attention Fusion
- Hair Tone Estimation at Roots via Imaging Device with Embedded Deep Learning
- 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
- Analyse trichoskopischer Bilder mit tiefen neuronalen Netzen zur Diagnose und Aktivitätsbewertung von Alopecia areata – eine retrospektive Studie