FRINK Linked Data Fragments server

Matches in SemOpenAlex for { <https://semopenalex.org/work/W3037875018> ?p ?o ?g. }

• W3037875018 endingPage "105629" @default.
• W3037875018 startingPage "105629" @default.
• W3037875018 abstract "Abstract Background and Objective: Automatic artery/vein (A/V) classification in retinal images is of great importance in detecting vascular abnormalities, which may provide biomarkers for early diagnosis of many systemic diseases. It is intuitive to apply popular deep semantic segmentation network for A/V classification. However, the model is required to provide powerful representation ability since vessel is much more complex than general objects. Moreover, deep network may lead to inconsistent classification results for the same vessel due to the lack of structured optimization objective. Methods: In this paper, we propose a novel segmentation network named AVNet, which effectively enhances the classification ability of the model by integrating category-attention weighted fusion (CWF) module, significantly improving the pixel-level A/V classification results. Then, a graph based vascular structure reconstruction (VSR) algorithm is employed to reduce the segment-wise inconsistency, verifying the effect of the graph model on noisy vessel segmentation results. Results: The proposed method has been verified on three datasets, i.e. DRIVE, LES-AV and WIDE. AVNet achieves pixel-level accuracies of 90.62%, 90.34%, and 93.16%, respectively, and VSR further improves the performance by 0.19%, 1.85% and 0.64%, achieving the state-of-the-art results on these three datasets. Conclusion: The proposed method achieves competitive performance in A/V classification task." @default.
• W3037875018 created "2020-07-02" @default.
• W3037875018 creator A5006666257 @default.
• W3037875018 creator A5018133348 @default.
• W3037875018 creator A5020118426 @default.
• W3037875018 creator A5035113789 @default.
• W3037875018 creator A5066283915 @default.
• W3037875018 creator A5082172500 @default.
• W3037875018 date "2020-10-01" @default.
• W3037875018 modified "2023-10-16" @default.
• W3037875018 title "AVNet: A retinal artery/vein classification network with category-attention weighted fusion" @default.
• W3037875018 cites W1968535857 @default.
• W3037875018 cites W2004862390 @default.
• W3037875018 cites W2016256095 @default.
• W3037875018 cites W2039367092 @default.
• W3037875018 cites W2040118850 @default.
• W3037875018 cites W2060091892 @default.
• W3037875018 cites W2100756624 @default.
• W3037875018 cites W2106883050 @default.
• W3037875018 cites W2117935664 @default.
• W3037875018 cites W2125449786 @default.
• W3037875018 cites W2129698390 @default.
• W3037875018 cites W2139583008 @default.
• W3037875018 cites W2150769593 @default.
• W3037875018 cites W2174711832 @default.
• W3037875018 cites W2205926907 @default.
• W3037875018 cites W2395611524 @default.
• W3037875018 cites W2570247064 @default.
• W3037875018 cites W2573296565 @default.
• W3037875018 cites W2750113637 @default.
• W3037875018 cites W2750911434 @default.
• W3037875018 cites W2763797438 @default.
• W3037875018 cites W2770564853 @default.
• W3037875018 cites W2792110043 @default.
• W3037875018 cites W2800539275 @default.
• W3037875018 cites W2808272537 @default.
• W3037875018 cites W2908025390 @default.
• W3037875018 cites W2919115771 @default.
• W3037875018 cites W2939250925 @default.
• W3037875018 cites W2948685905 @default.
• W3037875018 cites W2954313386 @default.
• W3037875018 cites W3100870891 @default.
• W3037875018 cites W3103010481 @default.
• W3037875018 doi "https://doi.org/10.1016/j.cmpb.2020.105629" @default.
• W3037875018 hasPubMedId "https://pubmed.ncbi.nlm.nih.gov/32634648" @default.
• W3037875018 hasPublicationYear "2020" @default.
• W3037875018 type Work @default.
• W3037875018 sameAs 3037875018 @default.
• W3037875018 citedByCount "16" @default.
• W3037875018 countsByYear W30378750182021 @default.
• W3037875018 countsByYear W30378750182022 @default.
• W3037875018 countsByYear W30378750182023 @default.
• W3037875018 crossrefType "journal-article" @default.
• W3037875018 hasAuthorship W3037875018A5006666257 @default.
• W3037875018 hasAuthorship W3037875018A5018133348 @default.
• W3037875018 hasAuthorship W3037875018A5020118426 @default.
• W3037875018 hasAuthorship W3037875018A5035113789 @default.
• W3037875018 hasAuthorship W3037875018A5066283915 @default.
• W3037875018 hasAuthorship W3037875018A5082172500 @default.
• W3037875018 hasConcept C118487528 @default.
• W3037875018 hasConcept C138885662 @default.
• W3037875018 hasConcept C153180895 @default.
• W3037875018 hasConcept C154945302 @default.
• W3037875018 hasConcept C158525013 @default.
• W3037875018 hasConcept C2780827179 @default.
• W3037875018 hasConcept C2910707947 @default.
• W3037875018 hasConcept C41008148 @default.
• W3037875018 hasConcept C41895202 @default.
• W3037875018 hasConcept C71924100 @default.
• W3037875018 hasConceptScore W3037875018C118487528 @default.
• W3037875018 hasConceptScore W3037875018C138885662 @default.
• W3037875018 hasConceptScore W3037875018C153180895 @default.
• W3037875018 hasConceptScore W3037875018C154945302 @default.
• W3037875018 hasConceptScore W3037875018C158525013 @default.
• W3037875018 hasConceptScore W3037875018C2780827179 @default.
• W3037875018 hasConceptScore W3037875018C2910707947 @default.
• W3037875018 hasConceptScore W3037875018C41008148 @default.
• W3037875018 hasConceptScore W3037875018C41895202 @default.
• W3037875018 hasConceptScore W3037875018C71924100 @default.
• W3037875018 hasFunder F4320321001 @default.
• W3037875018 hasFunder F4320321133 @default.
• W3037875018 hasFunder F4320323993 @default.
• W3037875018 hasFunder F4320335777 @default.
• W3037875018 hasLocation W30378750181 @default.
• W3037875018 hasOpenAccess W3037875018 @default.
• W3037875018 hasPrimaryLocation W30378750181 @default.
• W3037875018 hasRelatedWork W1979622356 @default.
• W3037875018 hasRelatedWork W1988028250 @default.
• W3037875018 hasRelatedWork W2090773017 @default.
• W3037875018 hasRelatedWork W2183228276 @default.
• W3037875018 hasRelatedWork W2554078916 @default.
• W3037875018 hasRelatedWork W2978430289 @default.
• W3037875018 hasRelatedWork W4230069371 @default.
• W3037875018 hasRelatedWork W4231677146 @default.
• W3037875018 hasRelatedWork W4240015201 @default.
• W3037875018 hasRelatedWork W4256198315 @default.
• W3037875018 hasVolume "195" @default.
• W3037875018 isParatext "false" @default.

• next