Matches in SemOpenAlex for { <https://semopenalex.org/work/W20040508> ?p ?o ?g. }
Showing items 1 to 98 of
98
with 100 items per page.
- W20040508 endingPage "475" @default.
- W20040508 startingPage "472" @default.
- W20040508 abstract "Due to its blood microcirculation, the retina is one of the first organs affected by hypertension and diabetes: retinal damages can lead to serious visual loss, that can be avoided by an early diagnosis. The most distinctive sign of diabetic retinopathy or severe hypertensive retinopathy are dark lesions such as haemorrhages and microaneurysms (HM), and bright lesions such as hard exudates (HE) and cotton wool spots (CWS). Automatic detection of their presence in the retina is thus of paramount importance for assessing the presence of retinopathy, and therefore relieve the burden of image examination by retinal experts. The first step for the automatic detection of retinal lesions has to identify candidate lesions, not losing any of them, and providing with accurate outlines, so to allow the extraction of meaningful features for a possible subsequent classification. To accomplish this, we propose a two stage approach. The first stage identifies the rough location of candidate lesions with one or more seed points, evaluating a measure of the spatial density of pixels selected by a local thresholding. The second stage has the objective of outlining as accurately as possible the lesions surrounding each seed. Due to the high variability of lesions and background appearance, classical region growing approaches often fail and are difficult to calibrate, since in retinal imaging the noisy and highly variable background hides the small homogenous regions representing lesions. To tackle this, we rely on a stochastic modelling of a region of interest around a seed as a Markov random field: This is particularly suited to separate objects with different textures, since it combines feature distribution and spatial connectivity. Responses to a Gabor filters bank spanning different orientations and scales provide the description of the local texture, and the final classification is obtained via a simulated annealing optimization. Along with the classification, we propose a simple post-optimization measure to discard regions where no lesions are present despite the presence of seeds. We show results of the proposed method on a data set of manually segmented 60 images, 6 of which containing retinal lesions." @default.
- W20040508 created "2016-06-24" @default.
- W20040508 creator A5022937331 @default.
- W20040508 creator A5053800405 @default.
- W20040508 date "2009-01-01" @default.
- W20040508 modified "2023-10-17" @default.
- W20040508 title "A Markov Random Field Approach to Outline Lesions in Fundus Images" @default.
- W20040508 cites W1982761740 @default.
- W20040508 cites W1990173365 @default.
- W20040508 cites W2020999234 @default.
- W20040508 cites W2064369665 @default.
- W20040508 cites W2065301447 @default.
- W20040508 cites W2100040279 @default.
- W20040508 cites W2102681574 @default.
- W20040508 cites W2104019579 @default.
- W20040508 cites W2145305441 @default.
- W20040508 cites W2145695422 @default.
- W20040508 cites W2162698990 @default.
- W20040508 cites W2169164902 @default.
- W20040508 cites W2534438561 @default.
- W20040508 doi "https://doi.org/10.1007/978-3-540-89208-3_112" @default.
- W20040508 hasPublicationYear "2009" @default.
- W20040508 type Work @default.
- W20040508 sameAs 20040508 @default.
- W20040508 citedByCount "5" @default.
- W20040508 countsByYear W200405082012 @default.
- W20040508 countsByYear W200405082018 @default.
- W20040508 countsByYear W200405082020 @default.
- W20040508 crossrefType "book-chapter" @default.
- W20040508 hasAuthorship W20040508A5022937331 @default.
- W20040508 hasAuthorship W20040508A5053800405 @default.
- W20040508 hasConcept C115961682 @default.
- W20040508 hasConcept C118487528 @default.
- W20040508 hasConcept C119857082 @default.
- W20040508 hasConcept C120665830 @default.
- W20040508 hasConcept C121332964 @default.
- W20040508 hasConcept C124504099 @default.
- W20040508 hasConcept C134018914 @default.
- W20040508 hasConcept C153180895 @default.
- W20040508 hasConcept C154945302 @default.
- W20040508 hasConcept C160633673 @default.
- W20040508 hasConcept C191178318 @default.
- W20040508 hasConcept C2776004912 @default.
- W20040508 hasConcept C2776391266 @default.
- W20040508 hasConcept C2776689232 @default.
- W20040508 hasConcept C2777093970 @default.
- W20040508 hasConcept C2778045648 @default.
- W20040508 hasConcept C2778313320 @default.
- W20040508 hasConcept C2779829184 @default.
- W20040508 hasConcept C2780827179 @default.
- W20040508 hasConcept C31972630 @default.
- W20040508 hasConcept C41008148 @default.
- W20040508 hasConcept C555293320 @default.
- W20040508 hasConcept C71924100 @default.
- W20040508 hasConcept C98763669 @default.
- W20040508 hasConceptScore W20040508C115961682 @default.
- W20040508 hasConceptScore W20040508C118487528 @default.
- W20040508 hasConceptScore W20040508C119857082 @default.
- W20040508 hasConceptScore W20040508C120665830 @default.
- W20040508 hasConceptScore W20040508C121332964 @default.
- W20040508 hasConceptScore W20040508C124504099 @default.
- W20040508 hasConceptScore W20040508C134018914 @default.
- W20040508 hasConceptScore W20040508C153180895 @default.
- W20040508 hasConceptScore W20040508C154945302 @default.
- W20040508 hasConceptScore W20040508C160633673 @default.
- W20040508 hasConceptScore W20040508C191178318 @default.
- W20040508 hasConceptScore W20040508C2776004912 @default.
- W20040508 hasConceptScore W20040508C2776391266 @default.
- W20040508 hasConceptScore W20040508C2776689232 @default.
- W20040508 hasConceptScore W20040508C2777093970 @default.
- W20040508 hasConceptScore W20040508C2778045648 @default.
- W20040508 hasConceptScore W20040508C2778313320 @default.
- W20040508 hasConceptScore W20040508C2779829184 @default.
- W20040508 hasConceptScore W20040508C2780827179 @default.
- W20040508 hasConceptScore W20040508C31972630 @default.
- W20040508 hasConceptScore W20040508C41008148 @default.
- W20040508 hasConceptScore W20040508C555293320 @default.
- W20040508 hasConceptScore W20040508C71924100 @default.
- W20040508 hasConceptScore W20040508C98763669 @default.
- W20040508 hasLocation W200405081 @default.
- W20040508 hasOpenAccess W20040508 @default.
- W20040508 hasPrimaryLocation W200405081 @default.
- W20040508 hasRelatedWork W2114709213 @default.
- W20040508 hasRelatedWork W2365043821 @default.
- W20040508 hasRelatedWork W2374229677 @default.
- W20040508 hasRelatedWork W2409877198 @default.
- W20040508 hasRelatedWork W2788481538 @default.
- W20040508 hasRelatedWork W2996721101 @default.
- W20040508 hasRelatedWork W4283697617 @default.
- W20040508 hasRelatedWork W47848033 @default.
- W20040508 hasRelatedWork W98850343 @default.
- W20040508 hasRelatedWork W2593962225 @default.
- W20040508 isParatext "false" @default.
- W20040508 isRetracted "false" @default.
- W20040508 magId "20040508" @default.
- W20040508 workType "book-chapter" @default.