research Pre-trained classification of scalp conditions using image processing
The system can automatically classify scalp conditions with 85% accuracy.
Search
for
Sort by
Research
390-420 / 1000+ results
research Mercedes Flap With Releasing Incisions for Scalp Defects
The new Mercedes flap variant effectively closed medium-sized scalp defects in a single operation with good cosmetic results and no complications.
research Algorithms in Trichoscopy
Androgenetic alopecia is the only hair loss condition with specific diagnostic criteria in trichoscopy.
research The Paramedian Scalp Reduction with Posterior Z‐Plasty
The method effectively reduces and hides scalp defects after surgery.
research Quantifying Alopecia Areata via Texture Analysis to Automate the SALT Score Computation
Researchers created a fast, accurate computer program to measure hair loss in alopecia areata patients.
research Drug Repositioning with GraphSAGE and Clustering Constraints Based on Drug and Disease Networks
The method effectively predicts new drug uses, including potential COVID-19 treatments.
research An Explainable AI-Based Decision Support System for Teaching and Classifying Hair Loss Types
The AI system accurately classifies hair loss types and explains its decisions.
research A weighted non-negative matrix factorization approach to predict potential associations between drug and disease
WNMFDDA effectively predicts drug-disease associations.
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 Upper and Lower Trichophytic Closure with Wavy Two-Layered Closure for Optimal Hair Transplantation Scar
A wavy two-layer closure in hair transplants makes scars nearly invisible for most patients.
research Optimal placement of Burow's triangles for aesthetically pleasing repair of multiple defects using local flaps after tumor excision
The technique effectively repairs skin after tumor removal, maintaining appearance and function without complications.
research Angle closure in fellow eye with prophylactic pilocarpine treatment
research Miniflap Hair Restoration
The Miniflap Hair Restoration method effectively restores hair and reduces baldness, but may cause some hair loss and increased baldness in the crown, with the Juri flap method suggested as a quicker, less risky alternative.
research A discriminant multi-scale histopathology descriptor using dictionary learning
The new image descriptor helps identify skin cancer structures with good accuracy.
research Aplikasi Konsep Difraksi dalam Bidang Kesehatan
Light diffraction helps in eye surgery, brain treatments, and detecting hair loss and genetic diseases.
research Automated early detection of androgenetic alopecia using deep learning on trichoscopic images from a Korean cohort: a retrospective model development and validation study
The model accurately detects early-stage hair loss using images.
research Progress in computer-assisted function analysis
research Multi-Class Support Vector Machine Classification for Detecting Alopecia Areata and Scalp Diseases
The method accurately detects and classifies scalp diseases, including alopecia areata, with 89.3% accuracy.
research Highly flexible and controllable hierarchical MOF membrane for efficient drug release
research ARTIFICIAL INTELLIGENCE DERMOSCOPY AND A-T ADVANCEMENT FLAP FOR BASAL CELL CARCINOMA OF THE SCALP
The A-T advancement flap is a safe and effective method for scalp reconstruction after basal cell carcinoma removal.
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 A computational modelling framework to quantify the effects of passaging cell lines
Passage numbers affect cell growth and experiment results.
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 DEEP REINFORCEMENT LEARNING FOR SCALABLE CONTROL OF BOOLEAN MODELS IN THE CONTEXT OF CELLULAR REPROGRAMMING
pbn-STAC effectively finds strategies for cellular reprogramming using deep reinforcement learning.
research A machine learning approach for non-invasive PCOS diagnosis from ultrasound and clinical features
Machine learning can accurately diagnose PCOS non-invasively using clinical and ultrasound features.
research DETECTION OF HAIR FALL AND SCALP DISORDERS THROUGH ML AND IMAGE PROCESSING
AI can effectively detect hair and scalp disorders from images.
research An Automatic AI‐Based Algorithm That Grades the Scalp Surface Exfoliating Process From Video Imaging. Application to Dandruff Severity and Its Validation on Subjects of Different Ages and Ethnicities
The AI device accurately grades scalp exfoliation and can help diagnose scalp disorders.
research Convolutional Neural Networks for Non-Invasive Diagnosis of Androgenetic Alopecia using Dermoscopic Hair Images
Deep learning can improve non-invasive alopecia diagnosis using hair images.
research Assessment of college students’ mental health status based on temporal perception and hybrid clustering algorithm under the impact of public health events
A new method accurately measures college students' mental health by considering time perception and clustering techniques.
research An Analysis of Alopecia Areata Classification Framework for Human Hair Loss Based on VGG-SVM Approach
The VGG-SVM method accurately identifies and classifies stages of Alopecia Areata and other hair loss conditions.