Search results for "Fundus camera"

showing 3 items of 3 documents

Confocal scanning laser ophthalmoscopy versus modified conventional fundus camera for fundus autofluorescence.

2016

Fundus autofluorescence (FAF) is a noninvasive imaging method to detect fundus endogenous fluorophores, mainly lipofuscin located in the retinal pigment epithelium (RPE). The FAF provides information about lipofuscin distribution and RPE health, and consequently an increased accumulation of lipofuscin has been correlated with ageing and development of certain retinal conditions. Areas covered: An exhaustive literature search in MEDLINE (via OVID) and PUBMED for articles related to ocular FAF in retinal diseases and different devices used for acquiring FAF imaging was conducted. Expert commentary: This review aims to show an overview about autofluorescence in the RPE and the main devices use…

0301 basic medicinemedicine.medical_specialtygenetic structuresFundus OculiBiomedical EngineeringFundus (eye)Fundus cameraFluorescenceLipofuscin03 medical and health scienceschemistry.chemical_compound0302 clinical medicineOpticsOphthalmologymedicinePhotographyHumansFluorescent DyesRetinal pigment epitheliumbusiness.industryLasersRetinalGeneral Medicineeye diseasesFundus autofluorescenceConfocal scanning laser ophthalmoscopyOphthalmoscopyAutofluorescence030104 developmental biologymedicine.anatomical_structurechemistry030221 ophthalmology & optometrySurgerysense organsbusinessExpert review of medical devices
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Steerable wavelet transform for atlas based retinal lesion segmentation

2013

International audience; Computer aided diagnosis and follow up can help in prevention and treatment of diabetes and its related complications. Screening of diabetes related disease in the eyes is done by a special low cost fundus camera. A follow up of the patients visiting at di fferent time intervals for screening brings us to the problem of image analysis for change detection and its cost per patient. It is very likely that human annotations for the lesions may be erroneous and often time consuming. Since the ethnic background plays a signi cant role in retinal pigment epithelium, visibility of the choroidal vasculature and overall retinal luminance in patients and retinal images, an eth…

Computer scienceRetinal lesionImage processing[ INFO.INFO-CV ] Computer Science [cs]/Computer Vision and Pattern Recognition [cs.CV]LuminanceFundus camera030218 nuclear medicine & medical imaging03 medical and health scienceschemistry.chemical_compound0302 clinical medicine[INFO.INFO-CV] Computer Science [cs]/Computer Vision and Pattern Recognition [cs.CV]medicineSegmentationComputer visionRetinaRetinal pigment epitheliumDiabetic Retinopathybusiness.industryAtlas (topology)Atals segmentationWavelet transform[INFO.INFO-CV]Computer Science [cs]/Computer Vision and Pattern Recognition [cs.CV]RetinalDiabetic retinopathymedicine.diseaseSteerable filtersmedicine.anatomical_structurechemistryComputer-aided diagnosis030221 ophthalmology & optometryRetinal ImageArtificial intelligencebusinessChange detection
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Tīklenes attēlu analīze diabētiskās retinopātijas radīto tīklenes izmaiņu detektēšanai

2022

Bakalaura darbs ir uzrakstīts angļu valodā uz 42 lappusēm. Tas satur 32 attēlus, 2 tabulas un 59 atsauces uz literatūras avotiem. Darba mērķis bija pārbaudīt, vai pastāv atšķirība starp vidējo pikseļu intensitāti fundusa attēlā, kurā redzama vesela tīklene, un attēlu ar diabētisku retinopātiju. Attēli tika ņemti no divām datu bāzēm, kurās kopumā bija 127 attēli bez patologijam un 129 attēli ar diabētiskās retinopātijas klātbūtni. Attēlu analīzei tika izmantota programma MATLAB. Pētījuma rezultāti parādīja, ka zilajam kanālam ir būtiska atšķirība, bet sarkanajam un zaļajam kanālam nav. Ir jāveic vairāk pētījumu, lai secinātu, vai ir būtiskas atšķirības pikseļu intensitātē veseliem un diabēti…

Diabetic RetinopathyFundus CameraPixel IntensityRGB channelOptometrija
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