research 198 Reliable and interpretable segmentation for remote assessment of atopic dermatitis severity using digital images
The improved EczemaNet more reliably and clearly identifies and assesses the severity of atopic dermatitis from photos.
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research Weakly-Supervised Hair SEM Microscope Image Segmentation Using a Priori Structure Information
The method improves hair image segmentation accuracy while reducing annotation costs.
research MSF-VMDNet for multi class segmentation of skin cancer whole slide images using a multi frequency dual encoder network
MSF-VMDNet accurately segments skin cancer images better than existing methods.
research Improved Hidden Markov Algorithm Based on Bayes in Low Dose CT Images
The improved algorithm enhances low-dose CT image quality significantly better than other methods.
research Automating Hair Loss Labels for Universally Scoring Alopecia From Images
The AI system HairComb accurately scores hair loss severity, matching dermatologist assessments.
research Hair cluster detection model based on dermoscopic images
The new model detects hair clusters more accurately and efficiently, helping with early hair loss treatment and diagnosis.
research Oral administration of low-dose bisphenol A promotes proliferation of ventral prostate and upregulates prostaglandin D2 synthase expression in adult rats
Low doses of BPA can increase prostate growth and change hormone levels in adult rats.
research Tumid Lupus Erythematosus and Systemic Lupus Erythematosus: A Report on Their Rare Coexistence
A woman with both TLE and SLE improved with hydroxychloroquine treatment.
research Amplitude-guided deep reinforcement learning for semi-supervised layer segmentation
The new method improves accuracy in segmenting scalp tissue layers.
research Actualización del Síndrome de Ovario Poliquístico y su importancia en Dermatología
El Síndrome de Ovario Poliquístico causa problemas de piel como acné y es importante reconocerlo temprano para tratarlo.
research A quantitative technique to analyze and evaluate microstructures of skin hair follicles based on mueller matrix polarimetry
The technique accurately identifies and evaluates hair follicle structures in skin.
research GAN-Based ROI Image Translation Method for Predicting Image after Hair Transplant Surgery
The new method predicts post-hair transplant images more accurately than other methods.
research A Comprehensive Survey on Vitiligo Detection Using Deep Learning
Better datasets and methods are needed for reliable vitiligo detection using deep learning.
research A Feature-Preserving Hair Removal Algorithm for Dermoscopy Images
The algorithm effectively removes hair from skin images, improving melanoma diagnosis accuracy.
research An Automated Approach Towards Digital Photo-Trichogram for Hair Fall Diagnosis
Researchers developed a computer system to automatically diagnose hair loss by analyzing scalp images.
research Cardiometabolic and neuroimaging correlates of cognitive function in polycystic ovary syndrome
Women with PCOS have altered brain structure and reduced cognitive performance.
research Label-free multiphoton imaging to assess neoadjuvant therapy responses in breast carcinoma
Multiphoton microscopy can effectively assess breast cancer treatment responses without labels.
research IMMUNOLOGICAL AND SOME BIOLOGICAL BIOMARKERS INVESTIGATION IN PATIENTS WITH SYSTEMIC LUPUS ERYTHEMATOSUS
No single biomarker is reliable enough for diagnosing and assessing SLE.
research Intraretinal variation in disease severity in the Oat mouse model of gyrate atrophy
The Oat mouse model shows mild retinal degeneration, useful for testing treatments.
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 Arabidopsis VILLIN4 is involved in root hair growth through regulating actin organization in a Ca2+‐dependent manner
VILLIN4 helps root hair growth by organizing actin with calcium.
research Skin image analysis for detection and quantitative assessment of dermatitis, vitiligo and alopecia areata lesions: a systematic literature review
Computer vision techniques can help detect and assess skin conditions like vitiligo, alopecia areata, and dermatitis.
research A Quantitative Measurement Method for Nuclear-Pleomorphism Scoring in Breast Cancer
A new method accurately measures cell changes in breast cancer.
research Multicolor Cell Barcoding Technology for Long-Term Surveillance of Epithelial Regeneration in Zebrafish
Zebrafish skin regeneration relies on cell behaviors and reactive oxygen species, with antioxidants reducing and hydrogen peroxide increasing regeneration.
research Cell cycle controls long-range calcium signaling in the regenerating epidermis
Calcium signaling in skin cells is crucial for communication and regeneration.
research Cell-Based Model Systems for Validation of Various Efficacy-Based Claims for Cosmetic Ingredients
Cell-based models help test if cosmetic ingredients really work for hair growth and skin health.
research In vivo expression of VCAM1 precedes nephron loss following kidney tubular necrosis
VCAM1 appears early in kidney injury and signals future nephron loss.
research Qualification of a new and precise automatic tool for the assessment of hair diameters in phototrichograms
The new automatic tool accurately measures hair thickness and is reliable.
research Detection of Meibomian Gland Dysfunction by in vivo Confocal Microscopy Based on Deep Convolutional Neural Network
The model can effectively help diagnose meibomian gland dysfunction automatically.
research Modeling Oxidative Stress-Linked Telogen Effluvium Using Monte Carlo Simulation of Published Trichoscopy Norms and Cannabis Exposure Distributions
Higher cannabis exposure may lead to increased hair loss.