Articles with "segmentation retinal" as a keyword



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Drusen Segmentation From Retinal Images via Supervised Feature Learning

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Published in 2018 at "IEEE Access"

DOI: 10.1109/access.2017.2786271

Abstract: This paper presents a supervised feature learning method to learn discriminative and compact descriptors for drusen segmentation from retinal images. This method combines generalized low rank approximation of matrices with supervised manifold regularization to learn… read more here.

Keywords: feature learning; drusen segmentation; supervised feature; segmentation retinal ... See more keywords
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Erratum: Weakly supervised anomaly segmentation in retinal OCT images using an adversarial learning approach: publisher's note.

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Published in 2021 at "Biomedical optics express"

DOI: 10.1364/boe.438948

Abstract: [This corrects the article on p. 4713 in vol. 12.]. read more here.

Keywords: weakly supervised; anomaly segmentation; erratum weakly; segmentation retinal ... See more keywords
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Dual-consistency semi-supervision combined with self-supervision for vessel segmentation in retinal OCTA images.

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Published in 2022 at "Biomedical optics express"

DOI: 10.1364/boe.458004

Abstract: Optical coherence tomography angiography(OCTA) is an advanced noninvasive vascular imaging technique that has important implications in many vision-related diseases. The automatic segmentation of retinal vessels in OCTA is understudied, and the existing segmentation methods require… read more here.

Keywords: consistency semi; segmentation retinal; supervision; segmentation ... See more keywords
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Multi-Path Recurrent U-Net Segmentation of Retinal Fundus Image

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Published in 2020 at "Applied Sciences"

DOI: 10.3390/app10113777

Abstract: Diabetes can induce diseases including diabetic retinopathy, cataracts, glaucoma, etc. The blindness caused by these diseases is irreversible. Early analysis of retinal fundus images, including optic disc and optic cup detection and retinal blood vessel… read more here.

Keywords: retinal fundus; segmentation; segmentation retinal; fundus image ... See more keywords
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Automatic Segmentation of Retinal Fluid and Photoreceptor Layer from Optical Coherence Tomography Images of Diabetic Macular Edema Patients Using Deep Learning and Associations with Visual Acuity

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Published in 2022 at "Biomedicines"

DOI: 10.3390/biomedicines10061269

Abstract: Diabetic macular edema (DME) is a highly common cause of vision loss in patients with diabetes. Optical coherence tomography (OCT) is crucial in classifying DME and tracking the results of DME treatment. The presence of… read more here.

Keywords: visual acuity; segmentation retinal; segmentation; fluid ... See more keywords