Search results for "Pigmented Nevus"

showing 5 items of 5 documents

Melanoma-nevus differentiation by multispectral imaging

2011

A clinical trial on multi-spectral imaging of malignant and non-malignant skin pathologies comprising 22 melanomas and 59 pigmented nevi was performed in Latvian Oncology Center. Analysis of data obtained in the spectral range 450–950 nm using multispectral camera have led to a novel image processing algorithm capable to distinguish melanoma from pigmented nevi and different areas of activity of melanoma. The proposed methodology and potential clinical applications are discussed.

Pathologymedicine.medical_specialtyintegumentary systembusiness.industryMelanomaMultispectral imagemedicinePigmented NevusNevusmedicine.diseasebusinessneoplasmsDermatologySPIE Proceedings
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Application of principal component analysis to multispectral imaging data for evaluation of pigmented skin lesions

2013

Non-invasive and fast primary diagnostics of pigmented skin lesions is required due to frequent incidence of skin cancer – melanoma. Diagnostic potential of principal component analysis (PCA) for distant skin melanoma recognition is discussed. Processing of the measured clinical multi-spectral images (31 melanomas and 94 nonmalignant pigmented lesions) in the wavelength range of 450-950 nm by means of PCA resulted in 87 % sensitivity and 78 % specificity for separation between malignant melanomas and pigmented nevi.

Pathologymedicine.medical_specialtyintegumentary systembusiness.industryWavelength rangeMelanomaMultispectral imagemedicine.diseaseDermatologyPrincipal component analysismedicinePigmented Nevussense organsSkin cancerPigmented skinSkin melanomabusinessneoplasmsSPIE Proceedings
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Clinical evaluation of melanomas and common nevi by spectral imaging

2012

A clinical trial on multi-spectral imaging of malignant and non-malignant skin pathologies comprising 17 melanomas and 65 pigmented common nevi was performed. Optical density data of skin pathologies were obtained in the spectral range 450-950 nm using the multispectral camera Nuance EX. An image parameter and maps capable of distinguishing melanoma from pigmented nevi were proposed. The diagnostic criterion is based on skin optical density differences at three fixed wavelengths: 540nm, 650nm and 950nm. The sensitivity and specificity of this method were estimated to be 94% and 89%, respectively. The proposed methodology and potential clinical applications are discussed.

Pathologymedicine.medical_specialtyocis:(110.4234) Multispectral and hyperspectral imagingintegumentary systembusiness.industryocis:(170.4580) Optical diagnostics for medicineMelanomaMultispectral imageImage processingOptical densitymedicine.diseaseAtomic and Molecular Physics and OpticsSpectral imagingOptics in Cancer ResearchPigmented NevusMedicinesense organsRadiologybusinessClinical evaluationBiotechnologyBiomedical Optics Express
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Differentiation of seborrheic keratosis from basal cell carcinoma, nevi and melanoma by RGB autofluorescence imaging

2018

A clinical trial on the autofluorescence imaging of skin lesions comprising 16 dermatologically confirmed pigmented nevi, 15 seborrheic keratosis, 2 dysplastic nevi, histologically confirmed 17 basal cell carcinomas and 1 melanoma was performed. The autofluorescence spatial properties of the skin lesions were acquired by smartphone RGB camera under 405 nm LED excitation. The diagnostic criterion is based on the calculation of the mean autofluorescence intensity of the examined lesion in the spectral range of 515 nm–700 nm. The proposed methodology is able to differentiate seborrheic keratosis from basal cell carcinoma, pigmented nevi and melanoma. The sensitivity and specificity of the prop…

Seborrheic keratosisPathologymedicine.medical_specialty01 natural sciencesArticle010309 opticsLesion030207 dermatology & venereal diseases03 medical and health sciences0302 clinical medicine0103 physical sciencesmedicinePigmented NevusBasal cellBasal cell carcinomaneoplasmsintegumentary systembusiness.industryMelanomamedicine.diseaseAtomic and Molecular Physics and OpticsAutofluorescencemedicine.symptomSkin lesionbusinessBiotechnology
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Evaluation of Skin Melanoma in Spectral Range 450-950 nm Using Principal Component Analysis

2013

Diagnostic potential of principal component analysis (PCA) of multi-spectral imaging data in the wavelength range 450-950 nm for distant skin melanoma recognition is discussed. Processing of the measured clinical data by means of PCA resulted in clear separation between malignant melanomas and pigmented nevi.

medicine.medical_specialtyMaterials scienceintegumentary systemWavelength rangebusiness.industryMelanomamedicine.diseaseImaging dataSpectral imagingOpticsNuclear magnetic resonancePrincipal component analysisPigmented NevusmedicineSkin melanomabusinessneoplasms
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