research Objective evaluation of photoepilation by phototrichogram
Photoepilation significantly reduces hair, and phototrichograms can objectively measure its effectiveness.
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540-570 / 1000+ resultsresearch Algorithms in Trichoscopy
Androgenetic alopecia is the only hair loss condition with specific diagnostic criteria in trichoscopy.
research Alopecia areata: Line‐field confocal optical coherence tomography features and dermoscopy correlation
LC-OCT is a promising tool for diagnosing and monitoring Alopecia areata.
research Androgenetic Alopecia
Hair loss and growth can be accurately measured using computer-assisted counting.
research Scalp immersion proxigraphy (SIP): an improved imaging technique for phototrichogram analysis*
SIP is a better method for measuring hair growth accurately.
research Densitometry and Video-microscopy
Densitometry and video-microscopy are precise for evaluating hair loss and transplant success but need special equipment and training.
research Label-free concurrent 5-modal microscopy (Co5M) resolves unknown spatio-temporal processes in wound healing
Co5M offers a new way to observe and understand wound healing without labels.
research DEEP REVIEW ON ALOPECIA AREATA DIAGNOSIS FOR HAIR LOSS-RELATED AUTOIMMUNE DISORDER PROBLEM
Machine learning and deep learning can effectively diagnose alopecia areata.
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.
research TrichoScan
TrichoScan accurately measures hair growth and loss, showing increased hair counts and thickness with treatment.
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 Preliminary study on image characteristics of epidermoid cyst under reflection confocal microscope
Reflective confocal microscopy can potentially diagnose epidermoid cysts without a biopsy.
research Evaluation of standardized scalp photography on patient perception of hair loss severity, anxiety, and treatment
Scalp photography helps patients feel less anxious about hair loss, agree more with doctors on severity, and stay motivated for treatment.
research From laboratory to operating room: Innovative use of manual blood cell counting machine for counting follicular grafts
A manual blood cell counter was effectively used to count hair follicles during surgery, being user-friendly and cost-effective but limited by a three-digit display.
research Visual imaging of calcium ion distribution in acetone and tape stripping damaged canine epidermis.
The method visualized calcium ions in damaged canine skin, showing potential for studying skin recovery.
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 The place of B‐mode ultrasonography, shear‐wave elastography, and superb microvascular imaging in the pre‐diagnosis of androgenetic alopecia
B-mode ultrasonography and shear-wave elastography can help predict androgenetic alopecia early.
research 555 Dermal single-cell atlas: a novel tool to explore fibroblast heterogeneity
A new tool helps study hair follicle cells to develop better treatments for hair disorders.
research Mapping the hair density, thickness, and volume in normal and androgenetic alopecia subjects with the digital microscope
Hair density and thickness decrease in specific scalp areas in people with androgenetic alopecia.
research Quantification of female pattern hair loss: a study in a Turkish population.
Turkish women with female pattern hair loss have lower hair density, and visual counting is more effective than digital image analysis for detecting this.
research Detection of the nuclear translocation of androgen receptor using quantitative and automatic cell imaging analysis
A new method helps detect androgen receptor movement in cells, aiding research on hair loss treatments.
research Use of modern technological devices (photography, mobile phone applications and artificial intelligence) in dermatology
Technology, like mobile apps and AI, is improving skin condition diagnosis and treatment.
research Reflectance confocal microscopy assessment of alopecia: A case report
Reflectance confocal microscopy helped diagnose and manage a woman's hair loss without needing a biopsy.
research BaldPredict: AI-Driven Prediction Model for Alopecia Areata
AI can improve alopecia areata diagnosis with high accuracy.
research A Novel Fusion Technique for Early Detection of Alopecia Areata Using ResNet-50 and CRSHOG
AlopeciaDet accurately detects Alopecia Areata early using advanced image analysis.
research Robotic‐Assisted Procedures in Cosmetic Dermatology
Robotic technology greatly improves cosmetic dermatology outcomes and patient satisfaction.
research A Data-Driven Approach to Polycystic Ovary Syndrome Diagnosis: Evaluating Machine Learning Models
Machine learning can improve early and accurate detection of PCOS.
research Abstracts of 28th Year Annual Meeting of Turkish Society of Neuroradiology with International Participation, Conrad Istanbul Bosphorus, Istanbul, Turkey, February 15-17, 2019
MRI helps distinguish between pituitary adenomas and craniopharyngiomas, guides treatment for pediatric CNS tumors, and assesses rhinocerebral mucormycosis with a high mortality rate in transplanted patients.
research 202 Automated assessment of tumor infiltrating lymphocytes informs mortality in thin melanoma
An automated system can predict death risk in thin melanoma by analyzing immune cells.
research Quantitative analysis of the anatomical changes in the scalp and hair follicles in androgenetic alopecia using magnetic resonance imaging
MRI reveals thinner scalps and smaller hair follicles in people with androgenetic alopecia.