Search results for "Retinal atlas"

showing 2 items of 2 documents

Exudate Segmentation on Retinal Atlas Space

2013

International audience; Diabetic macular edema is characterized by hard exudates. Presence of such exudates cause vision loss in the affected areas. We present a novel approach of segmenting exudates for screening and follow-ups by building an ethnicity based statistical atlas. The chromatic distribution in such an atlas gives a good measure of probability of the pixels belonging to the healthy retinal pigments or to the abnormalities (like lesions, imaging artifacts etc.) in the retinal fundus image. Post-processing schemes are introduced in this paper for the enhancement of the edges of such exudates for final segmentation and to separate lesion from false positives. A sensitivity(recall)…

Retinal atlas02 engineering and technologyEdge detection03 medical and health scienceschemistry.chemical_compound0302 clinical medicine[ INFO.INFO-TI ] Computer Science [cs]/Image Processing0202 electrical engineering electronic engineering information engineeringFalse positive paradoxMedicineSegmentationComputer visionChromatic scaleRiesz transformPixelbusiness.industryAtlas (topology)RetinalImage segmentation[INFO.INFO-TI] Computer Science [cs]/Image Processing [eess.IV]chemistry[INFO.INFO-TI]Computer Science [cs]/Image Processing [eess.IV]Exudate segmentation020201 artificial intelligence & image processingArtificial intelligencebusiness030217 neurology & neurosurgery
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Statistical atlas based exudate segmentation

2013

International audience; Diabetic macular edema (DME) is characterized by hard exudates. In this article, we propose a novel statistical atlas based method for segmentation of such exudates. Any test fundus image is first warped on the atlas co-ordinate and then a distance map is obtained with the mean atlas image. This leaves behind the candidate lesions. Post-processing schemes are introduced for final segmentation of the exudate. Experiments with the publicly available HEI-MED data-set shows good performance of the method. A lesion localization fraction of 82.5% at 35% of non-lesion localization fraction on the FROC curve is obtained. The method is also compared to few most recent referen…

[INFO.INFO-TI] Computer Science [cs]/Image Processing [eess.IV]exudate segmentation[ INFO.INFO-IM ] Computer Science [cs]/Medical Imaging[INFO.INFO-TI]Computer Science [cs]/Image Processing [eess.IV][ INFO.INFO-TI ] Computer Science [cs]/Image Processing[INFO.INFO-IM]Computer Science [cs]/Medical Imaging[INFO.INFO-IM] Computer Science [cs]/Medical Imagingstatistical retinal atlasretinal images registration
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