Search results for "Dysplastic Nevus Syndrome"

showing 3 items of 3 documents

Evaluation of DNA ploidy and degree of DNA abnormality in benign and malignant melanocytic lesions of the skin using video imaging.

2000

BACKGROUND Making a morphologic distinction between benign and malignant melanocytic tumors of the skin is frequently difficult, especially because “gray zones” between these lesions often exist. DNA image cytometry as an adjuvant method for the diagnosis and prognostic prediction of premalignant lesions and malignant tumors of many other organs is already well established. The aim of this study was to determine whether DNA image cytometry is helpful in distinguishing benign from malignant melanocytic lesions and whether cytometry would give valid information with which to predict the prognoses associated with malignant melanomas. METHODS DNA image cytometry was performed on 127 benign and …

AdultMaleCancer ResearchPathologymedicine.medical_specialtySkin NeoplasmsStatistics as TopicVideo RecordingMalignant transformationBreslow ThicknessHutchinson's Melanotic FreckleNevus BlueNevus Epithelioid and Spindle CellmedicineHumansMelanomaNevusDNA Image CytometryImage CytometryRetrospective StudiesPloidiesbusiness.industryMelanomaCancerReproducibility of ResultsDNA NeoplasmMiddle Agedmedicine.diseaseAneuploidyPrognosisDiploidyHMB-45OncologyEvaluation Studies as TopicImage CytometryMelanocytesFemalebusinessCytometryDysplastic Nevus SyndromePrecancerous ConditionsFollow-Up StudiesForecastingCancer
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Progressive depigmentation of a melanocytic lesion: a dermoscopic challenge for melanoma diagnosis.

2013

HypopigmentationMalePathologymedicine.medical_specialtySkin NeoplasmsAdolescentbusiness.industryDermoscopySkin PigmentationDermatologyDermatologyMelanocytic lesionDepigmentationPredictive Value of TestsmedicineHumansMelanocytesmedicine.symptombusinessMelanoma diagnosisDysplastic Nevus SyndromeMelanomaFollow-Up StudiesInternational journal of dermatology
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Automatic differentiation of melanoma from dysplastic nevi.

2015

International audience; Malignant melanoma causes the majority of deaths related to skin cancer. Nevertheless, it is the most treatable one, depending on its early diagnosis. The early prognosis is a challenging task for both clinicians and dermatologist, due to the characteristic similarities of melanoma with other skin lesions such as dysplastic nevi. In the past decades, several computerized lesion analysis algorithms have been proposed by the research community for detection of melanoma. These algorithms mostly focus on differentiating melanoma from benign lesions and few have considered the case of melanoma against dysplastic nevi. In this paper, we consider the most challenging task a…

Shape featuresSkin Neoplasms[SDV.IB.IMA]Life Sciences [q-bio]/Bioengineering/ImagingDysplastic02 engineering and technology[ INFO.INFO-CV ] Computer Science [cs]/Computer Vision and Pattern Recognition [cs.CV]030218 nuclear medicine & medical imagingColourPattern Recognition Automated0302 clinical medicine0202 electrical engineering electronic engineering information engineeringMelanoma[ SDV.IB.IMA ] Life Sciences [q-bio]/Bioengineering/ImagingRadiological and Ultrasound Technology[ INFO.INFO-IM ] Computer Science [cs]/Medical ImagingMelanomaClassificationComputer Graphics and Computer-Aided DesignDermoscopy imaging3. Good healthRandom forest020201 artificial intelligence & image processingComputer Vision and Pattern RecognitionAlgorithmsmedicine.medical_specialtyAutomatic differentiationFeature extractionHealth InformaticsDermoscopySensitivity and SpecificityDiagnosis Differential03 medical and health sciencesLesion analysisMachine learningImage Interpretation Computer-Assistedmedicine[INFO.INFO-IM]Computer Science [cs]/Medical ImagingHumansRadiology Nuclear Medicine and imagingTextureneoplasmsbusiness.industry[INFO.INFO-CV]Computer Science [cs]/Computer Vision and Pattern Recognition [cs.CV]medicine.diseaseDermatologySupport vector machineBag-of-words modelSkin cancerbusinessDysplastic Nevus SyndromeComputerized medical imaging and graphics : the official journal of the Computerized Medical Imaging Society
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