research Amplitude-guided deep reinforcement learning for semi-supervised layer segmentation
The new method improves accuracy in segmenting scalp tissue layers.
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research 202 Automated assessment of tumor infiltrating lymphocytes informs mortality in thin melanoma
An automated system can predict death risk in thin melanoma by analyzing immune cells.
research Boundary-aware Multi-stage with Mobile U-Net for Hair Segmentation in Dermoscopic Images
The new method improves hair segmentation in skin images, helping detect skin cancer more accurately.
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 0037 Inflammatory implications in female pattern hair loss: unraveling B cell-related immune activation through comparative transcriptome profiling
Immune system changes may contribute to female pattern hair loss.
research A Fuzzy Logic-Based Computational Framework for Precision Triage in Androgenetic Alopecia: A Simulated Biomarker-Driven Approach
The TPAP method effectively categorizes androgenetic alopecia patients with high accuracy, but needs real-world validation.
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 Detecting shortcut learning for fair medical AI using shortcut testing
The ShorT method can detect and help reduce bias in medical AI by identifying shortcut learning.
research Mind the Gap: A Solution to the Robustness Problem of Turing Patterns Through Patterning Mode Isolation
Pattern mode isolation improves the reliability and predictability of Turing patterns.
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 Comparison of three strip harvesting technqiues (Haber's, Pathomvanich's and Ahmad's techniques)
Ahmad's sharp scissor technique reduces hair follicle damage without taking more time.
research Re-identification of anonymised MRI head images with publicly available software: investigation of the current risk to patient privacy
Standardized de-facing protocols can prevent identification from anonymized MRI images, enhancing privacy protection.
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 Pre-trained classification of scalp conditions using image processing
The system can automatically classify scalp conditions with 85% accuracy.
research CHROMALENS PRECISION MAPPING AS AN INNOVATIVE SYSTEM FOR MICROZONAL HAIR ANALYSIS: STRUCTURE, ALGORITHM, AND COMPARISON WITH CLASSICAL COLORING TECHNIQUES
research Objective quantification of chemotherapy-induced madarosis: a pilot study of an automated computer vision pipeline for eyebrow density assessment
The tool accurately tracks eyebrow hair loss in chemotherapy patients.
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.
research Research on hair removal algorithm of dermatoscopic images based on maximum variance fuzzy clustering and optimization Criminisi algorithm
The new hair removal algorithm for skin images works better for detecting and fixing hair, improving melanoma diagnosis.
research Revolutionizing Hair Fall Analysis: The Advanced Precipitation U-Net Model
The Advanced Precipitation U-Net Model improves early hair fall detection with 92% accuracy.
research scINSIGHT for interpreting single-cell gene expression from biologically heterogeneous data
scINSIGHT accurately identifies cell clusters and gene patterns in complex data.
research Deep Clustering via Center-Oriented Margin Free-Triplet Loss for Skin Lesion Detection in Highly Imbalanced Datasets
The new method improves skin cancer detection in imbalanced datasets.
research Reproduction of the human relevant potency threshold (HRPT) for estrogen receptor alpha agonism in an inference performance screen for ICCVAM’s regulatory scientific confidence framework
A new method effectively predicts estrogen-related health effects for early screening.
research Analysis of the efficiency of hair removal by different optical methods: comparison of Trichoscan, reflectance confocal microscopy, and optical coherence tomography
Trichoscan® is best for measuring hair growth, RCM for analyzing hair follicles, and OCT is useful for both.
research scINSIGHT for interpreting single-cell gene expression from biologically heterogeneous data
scINSIGHT helps understand single-cell gene expression better than current methods.
research A Segmental Approach to Scoring Hair Density from Global Images: Introducing the Scalp Coverage Scoring Method for Clinical Trials and Practice
The Scalp Coverage Scoring method reliably measures hair density from images.
research 13B “Temporary” Scalp Micropigmentation (Trichopigmentation)
Temporary scalp trichopigmentation creates a shaved hair look on the scalp using pigments that fade over time.
research A Combinatorial Tweet Clustering Methodology Utilizing Inter and Intra Cosine Similarity
The method effectively grouped tweets into categories without knowing the number of groups beforehand.
research Hair Follicle Classification and Hair Loss Severity Estimation Using Mask R-CNN
An intelligent system can classify hair follicles and measure hair loss severity with reasonable accuracy.
research Temporal Peaks Restoration: A New Innovation
The technique effectively restores temporal peaks in hair transplants using different hair densities and angles in three zones.
research A New Technique for Quantitative Analysis of Hair Loss in Mice Using Grayscale Analysis
A new method measures mouse hair loss using shades of gray.