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- Deep Learning-Based Dermatological Condition Detection: A Systematic Review With Recent Methods, Datasets, Challenges, and Future Directions
- Progress in the Computer‐Aided Analysis in Multiple Aspects of Nanocatalysis Research
- A Feature-Preserving Hair Removal Algorithm for Dermoscopy Images
- TOWARDS NOVEL DIAGNOSTIC MARKER BASED ON BREAST ARTERIAL CALCIFICATIONS
- HOW AI CAN SUPPORT FOLLICULAR LYMPHOMA DIAGNOSIS
- A review on computer‐aided chemogenomics and drug repositioning for rationalCOVID‐19 drug discovery
- Skin image analysis for detection and quantitative assessment of dermatitis, vitiligo and alopecia areata lesions: a systematic literature review
- Critical study of hair growth analysis with computer-assisted methods
- Ensemble of pre-learned deep learning model and an optimized LSTM for Alopecia Areata classification
- Diagnosis of an indistinct Leydig cell tumor by positron emission tomography-computed tomography
- Flow-guided hair removal for automated skin lesion identification
- A guide to studying human dermal adipocytes in situ
- Hair Strengthening Evaluation of Anisotropic Osmolite Solutions (Inositol + Arginine): Cross-Talk between Dermal Papilla Fibroblast and Keratinocytes of the Outer Root Sheath Using a µHair Follicle 3D Model
- BaldPredict: AI-Driven Prediction Model for Alopecia Areata
- EMQN best practice guidelines for molecular genetic testing and reporting of 21-hydroxylase deficiency
- DETERMINATION OF FINASTERIDE AND RELATED COMPOUNDS BY REVERSED-PHASE HIGH PERFORMANCE LIQUID CHROMATOGRAPHY. I. CHOOSING THE MOBILE PHASE COMPOSITION
- Prevalence of Androgenetic Alopecia among Saudi Population
- Natural Compound Isoliensinine Inhibits Stress-Induced Hair Greying by Blocking β2-Adrenoceptor
- Development of a New Grading Scale for Evaluating Overall Hair Density
- Bibliometric analysis and visualization of research trends on HIV-1 capsid inhibitors (2000–2022)
- Imaging to study solid tumour origin and progression: lessons from research and clinical oncology
- Life Sciences Discovery and Technology Highlights
- Scalp Disorder Imaging: How Deep Learning and Explainable Artificial Intelligence are Revolutionizing Diagnosis and Treatment
- Hair cluster detection model based on dermoscopic images
- Détection précoce de la cardiotoxicité due à la doxorubicine chez le miniporc par imagerie par résonance magnétique
- Deep Clustering via Center-Oriented Margin Free-Triplet Loss for Skin Lesion Detection in Highly Imbalanced Datasets
- Hair and scalp disease detection using deep learning
- Hair & Scalp Disease Detection Using Machine Learning & Image Processing
- An Automated Approach Towards Digital Photo-Trichogram for Hair Fall Diagnosis
- How good is artificial intelligence (AI) at solving hairy problems? A review of AI applications in hair restoration and hair disorders