research Pre-trained classification of scalp conditions using image processing
The system can automatically classify scalp conditions with 85% accuracy.
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research DETECTION OF HAIR FALL AND SCALP DISORDERS THROUGH ML AND IMAGE PROCESSING
AI can effectively detect hair and scalp disorders from images.
research Why care about Linear Hair Growth Rates (LHGR)? A study using in vivo imaging and computer assisted image analysis after manual processing (CAIAMP) in unaffected male controls and men with male pattern hair loss (MPHL)
Thicker hair grows faster; hair loss patients have slower growth.
research Hair & Scalp Disease Detection Using Machine Learning & Image Processing
AI can accurately diagnose hair and scalp conditions and suggest treatments.
research Hair and Scalp Disease Detection using Machine Learning and Image Processing
The machine learning model accurately detected hair loss and scalp diseases using processed images.
research “TRICHOASSIST” Trichogram Hair and Scalp Feature Extraction and Analysis Using Image Processing
"TRICHOASSIST" is a system that analyzes hair and scalp images to help diagnose scalp diseases.
research ISID0192 - Three-dimensional ultra-high frequency ultrasound facilitates image processing to visualize microstructural changes of hair follicles and detects distinct disease phases of alopecia areata
3D-ultrasound can non-invasively detect and predict alopecia areata phases and outcomes.
research 192 Three-dimensional ultra-high frequency ultrasound facilitates image processing to visualize microstructural changes of hair follicles and detects distinct disease phases of alopecia areata
3D ultrasound can detect hair follicle changes and disease phases in alopecia areata.
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 Deep skin diseases diagnostic system with Dual-channel Image and Extracted Text
The AI model DIET-AI effectively diagnoses skin diseases as well as doctors.
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 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 Quantitative assessment of female pattern hair loss
Computer-aided imaging system helps measure balding area in female pattern hair loss.
research เครองมอประมวลผลภาพดจทลสำหรบวดขอมลของเสนผมบนหนงศรษะของผปวยโรคผมบางทางพนธกรรม
The tool accurately measures hair count and size on scalps with 79.45% and 68.19% accuracy, respectively.
research An atlas of histopathology of skin diseases
The atlas is a useful, affordable guide for skin disease pathology, despite lacking color images.
research 1040 Photographing alopecia - How many pixels are needed for clinical evaluation?
Higher resolution images are needed to identify scarring and fine hair in alopecia.
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 A discriminant multi-scale histopathology descriptor using dictionary learning
The new image descriptor helps identify skin cancer structures with good accuracy.
research Σχεδιασμός και υλοποίηση συστήματος επεξεργασίας εικόνας καθώς και μαθηματικών αλγορίθμων βελτιστοποίησης της μεταμόσχευσης ανθρωπίνων τριχοθυλακίων με την τεχνική FUE
The document concludes that the FOLLYSIS© system improves hair transplant processes and patient monitoring with high accuracy and less skin trauma.
research Ex vivo dermatoscopy of scalp specimens and slides
Ex vivo dermatoscopy may lower lab costs and improve diagnosis speed for hair loss biopsies.
research Photo‐protective effect of cuttlefish ink melanin on human hair
Cuttlefish ink melanin protects hair from UV damage.
research Optimized VGG19 Architecture for Precise and Efficient Multi-Class Hair Disease Classification
The optimized VGG19 model accurately classifies hair diseases with 98.64% accuracy.
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 A Comprehensive Survey on Vitiligo Detection Using Deep Learning
Better datasets and methods are needed for reliable vitiligo detection using deep learning.
research Live-cell Imaging and Analysis of Germline Stem Cell Mitosis in Caenorhabditis elegans
The protocol allows easy imaging of dividing cells in C. elegans and can be used for other organisms.
research Distribution of the Quantum Dot Nano-particles that Penetrate Skin and Distinction of Combined Osmium Tetroxide in Electron Microscopic Analysis
Quantum dot nanoparticles can penetrate skin and reach sebocytes through hair follicles.
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 Raman spectroscopy reveals biophysical markers in skin cancer surgical margins
Raman spectroscopy can help identify cancerous skin tissue during surgery.
research Optical coherence tomography as a minimally invasive androgenic alopecia diagnostic platform (Conference Presentation)
OCT can effectively diagnose different stages of hair loss non-invasively.
research Progenic hair regrowth treatment- The use of platelet-released growth factors for treating androgenetic alopecia (AGA) by activating hair follicle stem cells
Platelet-released growth factors can treat hair loss by activating hair follicle stem cells, blocking certain pathways, and controlling inflammation and fibrosis.