Search results for "dermatoscopy"

showing 6 items of 6 documents

Color constancy in dermatoscopy with smartphone

2017

The recent spread of cheap dermatoscopes for smartphones can empower patients to acquire images of skin lesions on their own and send them to dermatologists. Since images are acquired by different smartphone cameras under unique illumination conditions, the variability in colors is expected. Therefore, the mobile dermatoscopic systems should be calibrated in order to ensure the color constancy in skin images. In this study, we have tested a dermatoscope DermLite DL1 basic, attached to Samsung Galaxy S4 smartphone. Under the controlled conditions, jpeg images of standard color patches were acquired and a model between an unknown device-dependent RGB and a device independent Lab color space h…

:MEDICINE [Research Subject Categories]Computer scienceDermatoscopesComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISION02 engineering and technologysmartphone01 natural sciences0202 electrical engineering electronic engineering information engineeringmedicineComputer visionDermatoscopyColor constancymedicine.diagnostic_testbusiness.industry010401 analytical chemistry020206 networking & telecommunicationscomputer.file_formatJPEGcolor reproduction accuracy0104 chemical sciencesdermatologymedicine.anatomical_structure:NATURAL SCIENCES::Physics::Atomic and molecular physics [Research Subject Categories]Lab color spaceRGB color modelHuman eyetelemedicineArtificial intelligencecolor constancybusinessSkin lesioncomputerBiophotonics—Riga 2017
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Total body skin examination for skin cancer screening in patients with focused complaints

2012

Background. The value of total body skin examination (TBSE) for skin cancer screening is controversial. Objective: We sought to determine whether TBSE could be helpful in patients with focused skin symptoms who would not otherwise have undergone TBSE. Methods: In a prospective, multicenter, cross-sectional study consecutive adult patients were recruited during a period of 18 months. Physicians first inspected, problem areas and uncovered areas and then performed TBSE. Equivocal lesions detected in both steps were excised or biopsied. Primary outcomes were the absolute and relative risks of missing skin cancer and the number of patients needed to examine to detect melanoma or another maligna…

AdultMalemedicine.medical_specialtySkin NeoplasmsBiopsyprevalenceDermoscopyPhysical examinationDermatologydermatoscopyMalignancySkin Diseasesskin cancer; dermoscopy; prevention; prevalencetotal body skin examinationpreventionAdult; Aged; Biopsy; Cross-Sectional Studies; Dermoscopy; Early Detection of Cancer; Female; Humans; Male; Middle Aged; Physical Examination; Prospective Studies; Skin Diseases; Skin NeoplasmsBiopsymedicinemelanomaHumansProspective StudiesProspective cohort studyPhysical ExaminationEarly Detection of CancerAgedCross-Sectional StudieDermatoscopyintegumentary systemmedicine.diagnostic_testskin cancerbusiness.industrySkin DiseaseMelanomascreeningpigmented skin lesionsMiddle Agedmedicine.diseaseDermatologyProspective StudieCross-Sectional Studiestotal body skin examination; melanoma; skin cancer; preventionRelative riskFemalenonmelanoma skin cancerdermoscopySkin cancerbusinessHuman
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Evaluation of Erythema Severity in Dermatoscopic Images of Canine Skin: Erythema Index Assessment and Image Sampling Reliability.

2021

The regular monitoring of erythema, one of the most important skin lesions in atopic (allergic) dogs, is essential for successful anti-allergic therapy. The smartphone-based dermatoscopy enables a convenient way to acquire quality images of erythematous skin. However, the image sampling to evaluate erythema severity is still done manually, introducing result variability. In this study, we investigated the correlation between the most popular erythema indices (EIs) and dermatologists’ erythema perception, and we measured intra- and inter-rater variability of the currently-used manual image-sampling methods (ISMs). We showed that the EIBRG, based on all three RGB (red, green, and blue) channe…

Image samplingSkin erythemamedicine.medical_specialtyErythema040301 veterinary sciencesIntraclass correlationsmartphone dermatoscopyintraclass correlation coefficientlcsh:Chemical technologyBiochemistrySpearman's rank correlation coefficientSeverity of Illness IndexAnalytical ChemistrySpecimen Handling0403 veterinary science030207 dermatology & venereal diseases03 medical and health sciences0302 clinical medicineDogsImage Interpretation Computer-Assistedmultispectral imagingMedicineerythema indexAnimalslcsh:TP1-1185Dog DiseasesElectrical and Electronic EngineeringInstrumentationReliability (statistics)SkinDermatoscopymedicine.diagnostic_testintegumentary systembusiness.industryCommunicationReproducibility of Results04 agricultural and veterinary sciencesCADESI4DermatologyAtomic and Molecular Physics and Optics3. Good healthErythemacanine atopic dermatitiserythema severityimage samplingmedicine.symptombusinessSkin lesiondisease severity scalesSensors (Basel, Switzerland)
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Classification par méthodes d’apprentissage supervisé et faiblement superviséd’images multimodales pour l’aide au diagnostic du lentigo malin en derm…

2021

Carried out in collaboration with the Saint-Étienne University Hospital, this work provides additional information to help the skin diagnosis by providing new decision methods on Lentigo Maligna and Lentigo Maligna Melanoma pathologies. To this end, the modalities regularly used in clinical conditions are made available to this work and are orchestrated within a multimodal process. Among image modalities, may be mentioned the clinical photography, the dermatoscopy, and the confocal reflectance microscopy. Initially, the first steps of this manuscript focus on reflectance confocal microscopy as the work in computer diagnostic assistance is relatively underdeveloped, in particular on the dete…

Upervised learning[INFO.INFO-AI] Computer Science [cs]/Artificial Intelligence [cs.AI]Apprentissage profond[INFO.INFO-TS] Computer Science [cs]/Signal and Image ProcessingLentigo Maligna MelanomaImage classification[INFO.INFO-IM] Computer Science [cs]/Medical ImagingDermatoscopieDermatologyMultimodalité[INFO.INFO-AI]Computer Science [cs]/Artificial Intelligence [cs.AI]Dermatoscopy[INFO.INFO-IM]Computer Science [cs]/Medical ImagingApprentissage faiblement superviséMultimodalityDermatologieFusion de donnéesWeakly supervised learningLentigo MalignaDeep learningApprentissage superviséData fusionMicroscopie confocale par réflectanceClassification d'images[INFO.INFO-TI] Computer Science [cs]/Image Processing [eess.IV][INFO.INFO-TI]Computer Science [cs]/Image Processing [eess.IV]Confocal reflectance microscopySupervised learning
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Minimizing the dermatoscopic morphologic overlap between basal and squamous cell carcinoma: a retrospective analysis of initially misclassified tumou…

2020

BACKGROUND Basal cell carcinoma (BCC) and squamous cell carcinoma (SCC) have well-established dermatoscopic criteria that make them relatively easy to recognize on a clinical basis. However, even with the addition of dermatoscopy, a morphologic overlap between the two tumours does exist. OBJECTIVES To analyse the dermatoscopic morphology of clinically and dermatoscopically misclassified BCCs and SCCs, to identify factors causing the erroneous clinical interpretation and, therefore, minimize the morphologic overlap between BCC and SCC. METHODS Retrospective study including histopathologically diagnosed BCCs or SCCs that had been clinically inversely diagnosed. Their dermatoscopic images were…

medicine.medical_specialtySkin NeoplasmsDermatologyDiagnosis Differential030207 dermatology & venereal diseases03 medical and health sciencesBasal (phylogenetics)0302 clinical medicinemedicineRetrospective analysisHumansBasal cell carcinomaBasal cellMorphologic OverlapneoplasmsRetrospective StudiesDermatoscopymedicine.diagnostic_testbusiness.industryRetrospective cohort studymedicine.diseaseDermatologystomatognathic diseasesInfectious DiseasesCarcinoma Basal Cell030220 oncology & carcinogenesisCarcinoma Squamous CellDifferential diagnosisbusinessJournal of the European Academy of Dermatology and Venereology : JEADVReferences
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Evaluation of skin erythema severity by dermatoscopy in dogs with atopic dermatitis

2021

To estimate the extent and severity of atopic dermatitis (AD)-related skin lesions, clinical trials enrolling dogs with AD often use categorical scales such as the Canine Atopic Dermatitis Extent and Severity Index, 4To validate an optical set-up with a smartphone and a dermatoscope for the objective estimation of skin erythema severity in atopic dogs.Forty-three dogs with AD.An erythema index (EI) was calculated from calibrated skin images and compared to the dermatologist's erythema severity estimate using the erythema grading scale used in the CADESI-04, as well as an ad hoc Visual Analog Scale (VAS) with a continuous palette of red shades.We found a strong correlation based on the Spear…

medicine.medical_specialtySkin erythemaErythema040301 veterinary sciencesVisual analogue scaleDermoscopySeverity of Illness IndexDermatitis Atopic0403 veterinary scienceLesion030207 dermatology & venereal diseases03 medical and health sciencesDogs0302 clinical medicineAnimalsMedicineClinical significanceDog DiseasesDermatoscopyintegumentary systemGeneral Veterinarymedicine.diagnostic_testbusiness.industry04 agricultural and veterinary sciencesAtopic dermatitismedicine.diseaseDermatologyClinical trialErythemamedicine.symptombusinessVeterinary Dermatology
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