research 画像解析による抗がん剤脱毛頭皮の形態構造の検証
Image analysis can effectively identify changes in scalps affected by chemotherapy-induced hair loss.
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60-90 / 1000+ results research Three‐dimensional imaging and analysis of the surface of hair fibres using scanning electron microscopy
The new 3D imaging method accurately measures hair surface details quickly.
research Quantifying Alopecia Areata via Texture Analysis to Automate the SALT Score Computation
Researchers created a fast, accurate computer program to measure hair loss in alopecia areata patients.
research Quantitative analysis and development of alopecia areata classification frameworks
A new algorithm effectively classifies Alopecia Areata, aiding early detection and treatment.
research Policistisko olnīcu sindroms pusaudzēm – starppaaudžu, ģenētiskie, dzīves kvalitātes un negausīgas ēšanas aspekti. Promocijas darbs
Adolescents with PCOS have lower quality of life due to diagnosis, binge eating, and body image concerns.
research 701 Rethinking alopecia scores: Correlating measures of hair loss with established photographic scoring systems
The conclusion suggests that a new system for measuring hair loss could be created using automated analysis of photographs.
research Image 2_Associations between ionomic profile and metabolic abnormalities in a murine model of sodium sulfide induced alopecia areata.tif
Linoleic acid and magnesium are key in alopecia areata progression, and tofacitinib can help by affecting their pathway.
research Image 4_Associations between ionomic profile and metabolic abnormalities in a murine model of sodium sulfide induced alopecia areata.tif
Targeting specific metabolic and ionic pathways may improve alopecia areata treatment.
research Image 3_Associations between ionomic profile and metabolic abnormalities in a murine model of sodium sulfide induced alopecia areata.tif
Linoleic acid and magnesium are key in alopecia areata progression, and tofacitinib can help by affecting their pathway.
research Image 1_Associations between ionomic profile and metabolic abnormalities in a murine model of sodium sulfide induced alopecia areata.tif
Targeting specific metabolic and ionic pathways may improve alopecia areata treatment.
research Hair analysis based on medical history and spatial-temporal data
Machine learning can predict hair health accurately using personal data.
research 42063 Image Quality Assessment using Convolutional Neural Network in Clinical Skin Images
The model can effectively identify good quality skin images but needs more testing for real-world use.
research “You Need a Makeover!”: The Social Construction of Female Body Image in “A Makeover Story”, W “hat Not to Wear”, and “Extreme Makeover”
Makeover TV shows promote unrealistic beauty standards and pressure women to conform to societal ideals.
research Exploring the Potential of DALL-E 2 in Pediatric Dermatology: A Critical Analysis
DALL-E 2 is only accurate for acne in pediatric dermatology and needs better data for other conditions.
research 532P Analyses of patient-reported outcomes (PROs) with mirvetuximab soravtansine (MIRV) versus standard chemotherapy in the randomized phase III FORWARD I study in ovarian cancer (GOG 3011)
Mirvetuximab soravtansine improves quality of life and reduces symptoms more than standard chemotherapy in ovarian cancer patients.
research Analysis of keratin films as screening tools for predicting the efficacy of potential hair dyes
Translucent keratin films are better for testing hair dyes.
research Item Analysis of the Japanese Version of the Generic Health-related Quality of Life Questionnaire for Children and Adolescents : Kid-KINDL-R and Kiddo-KINDL-R
A new imaging technique accurately measures hair follicle density and angles for better hair transplants.
research Automated quantitative analysis of coat and skin coloration in laboratory animals
A new algorithm accurately analyzes animal coat and skin colors quickly and easily.
research Critical study of hair growth analysis with computer-assisted methods
The Trichoscan system was found to be inaccurate for measuring hair growth, needing better software to be useful.
research The Hair Cell Analysis Toolbox: A machine learning-based whole cochlea analysis pipeline
The Hair Cell Analysis Toolbox automates and improves the analysis of cochlear hair cells using machine learning.
research ANALISIS SEMIOTIKA PEIRCE: POSTER IKLAN MCDONALD’S SERI FATHER’S DAY
The study concluded that McDonald's Father's Day ad uses a burger bun to symbolize a father, with colors and text celebrating the occasion and representing the brand's identity.
research 574 A deep learning classifier for the analysis of tiger tail banding in trichothiodystrophy
A deep learning model was developed to help diagnose trichothiodystrophy by analyzing hair patterns.
research Live-cell Imaging and Analysis of Germline Stem Cell Mitosis in Caenorhabditis elegans
The protocol allows easy imaging of dividing cells in C. elegans and can be used for other organisms.
research ‘I’ve got a very dichotomous difference in the way that I perceive myself’: Positive and negative constructions of body image following cancer treatment
Women who had cancer treatment feel both positive and negative about their bodies.
research Reflectance confocal miscroscopy and dermoscopy analysis of a case of connective tissue nevi
Connective tissue nevi have distinct features, and reflectance confocal microscopy is useful for early diagnosis.
research Scalp immersion proxigraphy (SIP): an improved imaging technique for phototrichogram analysis*
SIP is a better method for measuring hair growth accurately.
research KEBOT: An Artificial Intelligence Based Comprehensive Analysis System for FUE Based Hair Transplantation
The KEBOT system is a highly accurate AI tool for analyzing hair transplants.
research Deep Learning Approaches for Hair Disease Classification: A Comparative Analysis of MobileNetV2 and VGG19 Architectures
VGG19 is more accurate, but MobileNetV2 is faster and uses fewer resources.
research Calculation of Cuticle Step Heights from AFM Images of Outer Surfaces of Human Hair
AFM helps study hair surfaces for dermatology, cosmetics, and forensics.
research Enhanced stratification of male pattern hair loss using AI through novel loss region ratio analysis
AI improves accuracy and consistency in diagnosing male pattern hair loss.