ArticleDiagnostics (Basel, Switzerland)2021
Computer-Aided Detection (CADe) System with Optical Coherent Tomography for Melanin Morphology Quantification in Melasma Patients.
Article in Diagnostics (Basel, Switzerland), 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Who cites it
8 citing papers in PubMed, 19 citations in OpenAlex.
- Retrospective Analysis of the Therapeutic Outcomes of Microneedle Radiofrequency on Melasma by Optical Coherence Tomography: A Observational Pilot Study.Diagnostics (Basel, Switzerland) · 2026Article
- Transforming Aesthetic Dermatology: The Role of Artificial Intelligence in Skin Health.Dermatology and therapy · 2025Review
- Modulation of Melanocyte in Melasma Patients After Picosecond Laser Treatment.Journal of cosmetic dermatology · 2025Observational
- Optical Coherence Tomography as a Diagnosis-Assisted Tool for Guiding the Treatment of Melasma: A Case Series Study.Diagnostics (Basel, Switzerland) · 2024Article
- Deep learning automatically assesses 2-µm laser-induced skin damage OCT images.Lasers in medical science · 2024Article
- Feasibility of High-Cellular-Resolution Full-Field, Artificial-Intelligence-Assisted, Real-Time Optical Coherence Tomography in the Evaluation of Vitiligo: A Prospective Longitudinal Follow-Up Study.Bioengineering (Basel, Switzerland) · 2024Article
- Cost-effectiveness of Artificial Intelligence-Aided Colonoscopy for Adenoma Detection in Colon Cancer Screening.Journal of the Canadian Association of Gastroenterology · 2023Article
- Special Issue on "Advances in Skin Lesion Image Analysis Using Machine Learning Approaches".Diagnostics (Basel, Switzerland) · 2022Article
Corrections and comments
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Authors and funding
9 authors at 3 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Dark skin-type individuals have a greater tendency to have pigmentary disorders, among which melasma is especially refractory to treat and often recurs. Objective measurement of melanin amount helps evaluate the treatment response of pigmentary disorders. However, naked-eye evaluation is subjective to weariness and bias. We used a cellular resolution full-field optical coherence tomography (FF-OCT) to assess melanin features of melasma lesions and perilesional skin on the cheeks of eight Asian patients. A computer-aided detection (CADe) system is proposed to mark and quantify melanin. This system combines spatial compounding-based denoising convolutional neural networks (SC-DnCNN), and through image processing techniques, various types of melanin features, including area, distribution, intensity, and shape, can be extracted. Through evaluations of the image differences between the lesion and perilesional skin, a distribution-based feature of confetti melanin without layering, two distribution-based features of confetti melanin in stratum spinosum, and a distribution-based feature of grain melanin at the dermal-epidermal junction, statistically significant findings were achieved (
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.