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 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 Follicular Map: A Novel Approach to Quantitative Trichoscopy
The new Follicular Map method could help assess hair treatment effectiveness but has some limitations.
research Biophysical basis of skin cancer margin assessment using Raman spectroscopy
Raman spectroscopy could effectively guide skin cancer surgery by identifying tumor margins.
research NLKFill: high-resolution image inpainting with a novel large kernel attention
NLKFill improves high-resolution image inpainting by effectively capturing image details and enhancing speed.
research Determining meaningful thresholds for evaluating treatment efficacy in patients with alopecia areata
A change in SALT scores of 42 or 43 indicates meaningful improvement in alopecia areata treatment.
research Digital measurement of melasma: Towards eliminating subjectivity from treatment evaluation
The digital system for measuring melasma shows promise but needs more development for better accuracy and automation.
research Spatiotemporal Labeling of Melanocytes in Mice
The research showed how melanocytes develop, move, and respond to UV light, and their stem cells' role in hair color and skin cancer risk.
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 031 Inducible skin-associated lymphoid tissue (iSALT) is detected in the scalp treated with topical immunotherapy for alopecia areata
Topical immunotherapy for alopecia areata may work by creating immune cell clusters in the skin.
research 200 Deep learning model to predict sentinel lymph node status in melanoma patients
The AI model somewhat predicts lymph node status in melanoma patients using skin sample images.
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 Defining the Localization and Molecular Characteristic of Minor Salivary Gland Label-Retaining Cells
The study found stem cells in minor salivary glands that can differentiate and are involved in tumor formation when exposed to tobacco.
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 share dynamics by extracting competition structure
The model can predict website market shares by identifying competition among them.
research Generative Artificial Intelligence Tools: Evaluating Ways to Automate Your SALT ( GATEWAYS ) Scoring of Alopecia Areata
Generative AI tools can accurately score alopecia areata, reducing subjectivity in evaluations.
research A Comprehensive Survey on Vitiligo Detection Using Deep Learning
Better datasets and methods are needed for reliable vitiligo detection using deep learning.
research Table S1. Disease-dependent differences between tape-strip and bulk biopsy ssGSEA scores across hair follicle compartments
research Table S1. Disease-dependent differences between tape-strip and bulk biopsy ssGSEA scores across hair follicle compartments
research Three-dimensional architecture and linearized mapping of vibrissa follicle afferents
Large-scale reconstructions enhance understanding of vibrissal sensory mapping in the brain.
research Supplementary figure S2
research Analysis of alopecia areata surveys suggests a threshold for improved patient-reported outcomes
A SALT score of ≤ 20 indicates meaningful improvement in alopecia areata treatment.
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.
research Attention Balanced Multi-Dimension Multi-Task Deep Learning for Alopecia Recognition
The new deep learning system can accurately recognize hair loss conditions with a 95.11% success rate.
research A Feature-Preserving Hair Removal Algorithm for Dermoscopy Images
The algorithm effectively removes hair from skin images, improving melanoma diagnosis accuracy.
research 203 Automated skin surface phenotype for melanoma risk assessment
An automated method accurately assesses melanoma risk using 3D body images to analyze skin traits.
research Generative Artificial Intelligence Tools: Evaluating Ways to Automate Your SALT (GATEWAYS) Scoring of Alopecia Areata
Generative AI tools like GPT-4o can effectively automate SALT scoring for alopecia areata, matching clinician accuracy.
research 43910 Antioiliness Efficacy Evaluation Of A Cleanser Gel Containing Salicylic Acid, Vitamin C And Lens Esculenta Seed Extract By Facial Oiliness Map Methodology
The cleanser gel significantly reduces facial oiliness.