research Hair Disease Classification Using Convolutional Neural Network Algorithm with VGG-16 Architecture
The system can accurately classify hair diseases with 94.5% accuracy using a CNN.
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research Convolutional Neural Networks for Non-Invasive Diagnosis of Androgenetic Alopecia Using Dermoscopic Hair Images
Deep learning can improve non-invasive alopecia diagnosis using hair images.
research Identification of Drug-Disease Associations Using Information of Molecular Structures and Clinical Symptoms via Deep Convolutional Neural Network
A new model can predict drug-disease links well, helping drug research.
research Trichoscopy of Alopecia Areata: Hair Loss Feature Extraction and Computation Using Grid Line Selection and Eigenvalue
Researchers developed an algorithm for self-diagnosing scalp conditions with high accuracy using smart device-attached microscopes.
research Multiscale Morphological Reconstruction for Hair Removal in Dermoscopy Images
The method accurately detects and removes hair from skin images to improve melanoma diagnosis.
research Automating Hair Loss Labels for Universally Scoring Alopecia from Images
The AI system HairComb accurately scores hair loss severity, matching dermatologist assessments.
research Automated Skin Surface Phenotype for Melanoma Risk Assessment
An automated method accurately assesses melanoma risk using 3D body images to analyze skin traits.
research Methods of Transfer Learning for Multiclass Hair Disease Categorization
Transfer learning with three neural network architectures accurately classifies hair diseases.
research Investigating Different Deep Learning Models for Classification of Folliculitis
GoogLeNet is the best model for identifying folliculitis.
research Deep Learning-Based Trichoscopic Image Analysis and Quantitative Model for Predicting Basic and Specific Classification in Male Androgenetic Alopecia
A deep learning model accurately predicts male hair loss types using scalp images.
research Hair and Scalp Disease Detection Using Machine Learning and Image Processing
The machine learning model accurately detected hair loss and scalp diseases using processed images.
research Inferring Spatially Resolved Transcriptomics Data from Whole Slide Images for the Assessment of Colorectal Tumor Metastasis: A Feasibility Study
Using deep learning to predict gene expression from images could help assess colorectal cancer metastasis.
research Generative Adversarial Networks for Anonymous Acneic Face Dataset Generation
The method creates realistic, anonymous acne face images for research, achieving 97.6% accuracy in classification.
research Optimizing Skin Disease Diagnosis: Harnessing Online Community Data With Contrastive Learning and Clustering Techniques
Researchers improved a skin disease diagnosis model using online images, achieving up to 49.64% accuracy.
research An Extract of Leontopodium Alpinum Prolongs Anagen Phase in Human Hair Follicles Ex Vivo
Leontopodium alpinum extract may help reduce hair shedding by keeping hair in the growth phase longer.
research Evaluation of Extracts Containing Red Clover Using Dermal Papilla Cells in the Development of a Scalp Treatment System Targeting Hair Loss and Hair Damage
Red clover extract-based scalp treatments significantly improved hair volume and reduced hair loss and damage.
research Spironolactone for Treatment of Concomitant Female Pattern Hair Loss in Scarring Alopecia Patients
Spironolactone safely and effectively treats hair loss in female scarring alopecia patients.
research Leucine-Rich Repeat-Containing G-Protein-Coupled Receptors as Markers of Adult Stem Cells
Certain proteins, Lgr5 and Lgr6, are important markers of adult stem cells and are involved in tissue repair and cancer development.
research Androgen Signaling Regulates SARS-CoV-2 Receptor Levels and Is Associated with Severe COVID-19 Symptoms in Men
Male hormones affect COVID-19 severity and certain drugs targeting these hormones could help reduce the risk.
research Contribution of the Hair Follicular Pathway to Total Skin Permeation of Topically Applied and Exposed Chemicals
The hair follicle pathway significantly affects how easily water-loving chemicals pass through the skin.
research Endogenous Human Skin Equivalent Promotes In Vitro Morphogenesis of Follicle-Like Structures
Endo-HSE helps grow hair-like structures from human skin cells in the lab.
research Hyperplasia of the Subcutaneous Adipose Tissue Is the Primary Histopathologic Abnormality in Lipedematous Scalp
Lipedematous scalp is mainly caused by an increase in fat tissue under the skin and is different from lipedematous alopecia.
research Surgical Anatomy of the Scalp
Understanding scalp anatomy is crucial for successful and safe scalp surgery.
research Current Understanding of the Pathways Involved in Adult Stem and Progenitor Cell Migration for Tissue Homeostasis and Repair
The document concludes that understanding how adult stem and progenitor cells move is crucial for tissue repair and developing cell therapies.
research Microimaging of Hairless Rat Skin by Magnetic Resonance at 900 MHz
MRI can effectively image skin structures noninvasively.
research Deciphering Principles of Morphogenesis from Temporal and Spatial Patterns on the Integument
The conclusion is that skin and hair patterns are formed by a mix of cell activities, molecular signals, and environmental factors.
research A Regulatory Perspective on Pharmacokinetic/Pharmacodynamic Modelling
The document concludes that PK/PD modeling is important for determining the safe and effective dosages of drugs.
research Azimuthal Scattering from Elliptical Hair Fibers
Light scatters differently from elliptical hair fibers than from circular ones, and a new model better predicts this behavior, especially for shiny highlights.
research Scalp Surgery: Anatomic and Biomechanical Considerations
The document concludes that following specific surgical guidelines can improve scalp surgery results and reduce complications.
research Using Morphological Operators and Inpainting for Hair Removal in Dermoscopic Images
The new algorithm removes hair from skin images better than previous methods, helping diagnose melanoma.