research Big Self-Supervised Models Advance Medical Image Classification
Self-supervised learning improves medical image classification accuracy.
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90-120 / 1000+ results research Research Techniques Made Simple: Optical Clearing and Three-Dimensional Volumetric Imaging of Skin Biopsies
3D imaging of skin biopsies offers better accuracy but is time-consuming and can't clear melanin.
research HairLossMultinet: A Multi Scale Feature Fusion Method Using Deep Learning Approach
HairLossMultinet accurately classifies hair damage with 98% accuracy but needs a more diverse dataset for broader use.
research Hair color digitization through imaging and deep inverse graphics
A new method accurately captures and renders hair color for virtual reality and hair dye use.
research Topological Markers for Subcellular Chemical Mapping using TOF-SIMS
TOF-SIMS improved chemical mapping in cells, confirming gunshot residue, tracking anti-tumor drugs, and identifying molecules in mosquitoes and wounds.
research Functional endoscopy techniques for tracking stem cell fate
Endoscopic imaging can improve tracking of stem cells in the body.
research 368 Methods in Inflammatory Hair Disease Research: Enhanced Multiplex Imaging on Alopecia Areata Tissue Sections
New imaging technology can show up to 40 different markers in hair loss tissue, helping to understand hair disease better.
research Confocal Laser Scanning Microscopy as a Tool for the Investigation of Skin Drug Delivery Systems and Diagnosis of Skin Disorders
Confocal Laser Scanning Microscopy (CLSM) is a useful tool for studying how drugs interact with skin and diagnosing skin disorders, despite some limitations.
research Reproducibility of high-resolution laser speckle contrast imaging to assess cutaneous microcirculation for wound healing monitoring in mice
LSCI-HR is reliable for monitoring blood flow in wound healing in mice.
research Trichoscopy of Alopecia Areata: Hair Loss Feature Extraction and Computation Using Grid Line Selection and Eigenvalue
Researchers developed an algorithm for self-diagnosing scalp conditions with high accuracy using smart device-attached microscopes.
research Perspectives and Challenges of Hair Analysis
Hair is a complex organ, and understanding its detailed structure and growth phases is crucial for analyzing substances within it.
research Unveiling the Therapeutic Wealth of Eclipta Prostrata: Ethnobotany, Bioactive Compounds, and Biomedical Relevance
Eclipta prostrata is a medicinal herb with potential health benefits for various conditions and could be used in modern medicine.
research Ethnomedicinal and Phytochemical Studies of Eclipta alba (A Review)
Eclipta alba shows promise for treating various health issues and needs more research.
research Feature characterization of scarring and non-scarring types of alopecia by multiphoton microscopy (Conference Presentation)
Multiphoton microscopy can effectively distinguish between scarring and non-scarring alopecia.
research The integration of dermoscopy and reflectance confocal microscopy improves the diagnosis of lentigo maligna
research Immunofluorescence Tomography: High-resolution 3-D reconstruction by serial-sectioning of methacrylate embedded tissues and alignment of 2-D immunofluorescence images
Immunofluorescence tomography is a cost-effective method for creating detailed 3-D images of tissues.
research Streamlined intravital imaging approach for long-term monitoring of epithelial cell dynamics on an inverted confocal microscope
A new tool allows easier long-term imaging of live skin cells, helping study diseases like skin cancer.
research OPTICAL COHERENCE TOMOGRAPHY AS AN ADVANCED TOOL IN DIFFERENT APPLICATIONS
Optical Coherence Tomography has potential in diagnosing hair loss and monitoring blood clotting, and could be improved for deeper tissue observation and better hair loss understanding.
research Label-Free Monitoring of Endometrial Cancer Progression Using Multiphoton Microscopy
Multiphoton microscopy can effectively detect early endometrial cancer by analyzing collagen changes.
research Perbandingan Algoritma Multi-Thresholding, Konversi Biner, Low-Pass Filtering pada Segmentasi Rambut Kaki
Multi-thresholding is the best method for separating hair from skin in laser hair removal.
research Dermacen Analytica: A Novel Methodology Integrating Multi-Modal Large Language Models with Machine Learning in tele-dermatology
The new AI system improves remote skin condition diagnosis and access to care.
research In Vivo Reflectance Confocal Microscopy in General Dermatology: How to Choose the Right Indication
Reflectance confocal microscopy is useful for diagnosing and monitoring skin diseases, but it has limitations and requires expertise for correct use.
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 Hair Tone Estimation at Roots via Imaging Device with Embedded Deep Learning
The device accurately estimates natural hair color at the roots in real time.
research Streamlined Intravital Imaging Approach for Long-Term Monitoring of Epithelial Tissue Dynamics on an Inverted Confocal Microscope
A new 3D-printed microscope stage makes long-term imaging of live tissue easier and more accessible.
research Intravital Two-Photon Imaging of Touch Sensory Axon Morphology in Mouse Skin
A new imaging method helps see and study touch nerve endings in mouse skin.
research Imaging Tools for Noninvasive Hair Assessment
New imaging tools help doctors better examine hair and scalp health without surgery.
research Multimodal Single-Step Vitiligo Surgery: A Novel Approach
The new surgical technique for vitiligo is effective, safe, and cost-efficient.
research A New Assessment Method of Vitiligo by Combination of Dermoscopy and Reflectance Confocal Microscopy
The new method combining dermoscopy and Reflectance Confocal Microscopy is more effective for evaluating vitiligo.
research Review paper The use of reflectance confocal microscopy in selected inflammatory skin diseases
Reflectance confocal microscopy is a useful, non-invasive tool for diagnosing some skin diseases, with potential for future improvements.