research Two‐dimensional planimetry for alopecia areata severity evaluation compared with severity of alopecia tool: A pilot study
Measuring bald patch size can help grade hair loss severity, with photograph-based evaluation being more reliable.
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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 Innovative Approaches to the Assessment of Alopecia Areata: Incorporating the SALT Index Through Transparent Devices
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 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.
research Application of 3D Reflectance Confocal Microscopy: Melanocytic Proliferations as 3D Models; JAAD Supplemental Material
3D models from confocal microscopy improve melanoma detection on sun-damaged skin.
research Anatomical Mapping and Density of Merkel Cells in Skin and Mucosae of the Dog
Dogs have varying numbers of touch-sensitive Merkel cells in different skin areas, with most in the oral mucosa and facial skin, unrelated to age, sex, breed, or color.
research Hair transparency decoding in Asia: From stylists’ perception to in vitro measurement
Higher hair luminosity and shine mean higher perceived transparency.
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 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 Follicular Map: A Novel Approach to Quantitative Trichoscopy
The new Follicular Map method could help assess hair treatment effectiveness but has some limitations.
research In Vivo Confocal Microscopy for Automated Detection of Meibomian Gland Dysfunction: A Study Based on Deep Convolutional Neural Networks
research A discriminant multi-scale histopathology descriptor using dictionary learning
The new image descriptor helps identify skin cancer structures with good accuracy.
research Supplementary figure S2
research Bias Assessment and Data Drift Detection in Medical Image Analysis: A Survey
Reliable machine learning in medical imaging needs bias checks and data drift detection for consistent performance.
research A Feature-Preserving Hair Removal Algorithm for Dermoscopy Images
The algorithm effectively removes hair from skin images, improving melanoma diagnosis accuracy.
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 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 Amplitude-guided deep reinforcement learning for semi-supervised layer segmentation
The new method improves accuracy in segmenting scalp tissue layers.
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 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 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 Improved trichoscopic assessment of yellow dots using Sub-Ultraviolet Light
research Improved trichoscopic assessment of yellow dots using Sub-Ultraviolet Light
research Hair weathering and hair capacitance mapping: a pilot study
Hair capacitance mapping effectively measures hair surface moisture changes.
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 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 A Comprehensive Survey on Vitiligo Detection Using Deep Learning
Better datasets and methods are needed for reliable vitiligo detection using deep learning.