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Research 481–510 of 1000+
- Hair evaluation methods: Merits and demerits
- From Piezoelectric Nanogenerator to Non-Invasive Medical Sensor: A Review
- Evaluation of loci to predict ear morphology using two SNaPshot assays
- Research on hair removal algorithm of dermatoscopic images based on maximum variance fuzzy clustering and optimization Criminisi algorithm
- A Comprehensive Approach in Diagnosing the Polycystic Ovary Syndrome
- International evidence‐based guideline on assessment and management of PCOS—A Nordic perspective
- Label-Free Monitoring of Endometrial Cancer Progression Using Multiphoton Microscopy
- Predicting Physical Appearance from Low Template: State of the Art and Future Perspectives
- Hair and Scalp Disease Detection using Machine Learning and Image Processing
- Hair Disease Classification Using Convolutional Neural Network (CNN) Algorithm with VGG-16 Architecture
- Hair analysis based on medical history and spatial-temporal data
- Dermoscopy in General Dermatology: A Practical Overview
- Actinic keratosis: a clinical and epidemiological revision
- Telogen Effluvium: A Review of the Literature
- Alopecia areata: a comprehensive review of clinical, immunologic, and genetic perspectives
- American Society for Laser Medicine and Surgery 2019 Late Breaking Abstracts
- A Study of Trichoscopic Findings in Scalp Alopecias and Its Fruitfulness in A Tertiary Care Centre in India
- Understanding Polycystic Ovary Syndrome: A Comprehensive Guide
- Histopathology of Scarring and Nonscarring Hair Loss
- Leveraging nature’s nanocarriers: Translating insights from extracellular vesicles to biomimetic synthetic vesicles for biomedical applications
- Testing the impact of trait prevalence priors in Bayesian-based genetic prediction modeling of human appearance traits
- Mange in Rabbits: An Ectoparasitic Disease with a Zoonotic Potential
- Incidence, complications and therapeutic evaluation of clinical hypothyroidism in different breeds of dogs
- Deep Learning Approaches for Hair Disease Classification: A Comparative Analysis of MobileNetV2 and VGG19 Architectures
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- HairSentinel: a time-aware anomaly detection framework for forecasting hairfall trends using temporal fusion transformers
- Automated early detection of androgenetic alopecia using deep learning on trichoscopic images from a Korean cohort: a retrospective model development and validation study
- Xgboost Algoritmasıyla Polikistik Over Sendromu Teşhisi
- An Expert System for Clinical Risk Assessment of Polycystic Ovary Syndrome under Uncertainty
- Hot topics in research and patient care in Dermatology and Venereology, 2019