Matches in SemOpenAlex for { <https://semopenalex.org/work/W2020355880> ?p ?o ?g. }
Showing items 1 to 91 of
91
with 100 items per page.
- W2020355880 abstract "We describe a novel appearance model with optimal combined features to produce the accurate vessel segmentation. It starts with investigating a set of multi-scale vessel features, followed by a weighed approach to optimally combine different features. Then the optimally combined features advantage the appearance model to reveal more detailed information of vessel. The novelty of the work lies in the integration of optimal combined multi-scale features in the appearance model. The main advantage of our framework is that it detects vessel boundary in problematic regions that contain small vessels and noise. It is particularly suitable for accurate segmentation of thin and low contrast vessels. Two state-of-the-art vessel segmentation methods were used to compare with our method. Quantitative results on synthetic data indicate that our method is more accurate than these methods. Furthermore, our method performs good in clinical experiments, it is capable of detecting more detailed information of vessel. Compare with two state-of-the-art methods, our method is more accurate and robust, and more suited for automatic vessel extraction." @default.
- W2020355880 created "2016-06-24" @default.
- W2020355880 creator A5010789520 @default.
- W2020355880 creator A5067347622 @default.
- W2020355880 creator A5067388636 @default.
- W2020355880 date "2014-10-01" @default.
- W2020355880 modified "2023-09-27" @default.
- W2020355880 title "Accurate vessel segmentation with optimal combination of features" @default.
- W2020355880 cites W1480380503 @default.
- W2020355880 cites W1562009907 @default.
- W2020355880 cites W1797286681 @default.
- W2020355880 cites W1971997700 @default.
- W2020355880 cites W1997337116 @default.
- W2020355880 cites W2048190628 @default.
- W2020355880 cites W2128089874 @default.
- W2020355880 cites W2129534965 @default.
- W2020355880 cites W2136550549 @default.
- W2020355880 cites W2139478903 @default.
- W2020355880 cites W2144254215 @default.
- W2020355880 cites W2155929430 @default.
- W2020355880 cites W2158698691 @default.
- W2020355880 cites W2168005337 @default.
- W2020355880 doi "https://doi.org/10.1109/bmei.2014.7002757" @default.
- W2020355880 hasPublicationYear "2014" @default.
- W2020355880 type Work @default.
- W2020355880 sameAs 2020355880 @default.
- W2020355880 citedByCount "1" @default.
- W2020355880 countsByYear W20203558802016 @default.
- W2020355880 crossrefType "proceedings-article" @default.
- W2020355880 hasAuthorship W2020355880A5010789520 @default.
- W2020355880 hasAuthorship W2020355880A5067347622 @default.
- W2020355880 hasAuthorship W2020355880A5067388636 @default.
- W2020355880 hasConcept C115961682 @default.
- W2020355880 hasConcept C121332964 @default.
- W2020355880 hasConcept C124504099 @default.
- W2020355880 hasConcept C138885662 @default.
- W2020355880 hasConcept C153008295 @default.
- W2020355880 hasConcept C153180895 @default.
- W2020355880 hasConcept C154945302 @default.
- W2020355880 hasConcept C27206212 @default.
- W2020355880 hasConcept C2778738651 @default.
- W2020355880 hasConcept C2778755073 @default.
- W2020355880 hasConcept C31972630 @default.
- W2020355880 hasConcept C41008148 @default.
- W2020355880 hasConcept C62520636 @default.
- W2020355880 hasConcept C65885262 @default.
- W2020355880 hasConcept C89600930 @default.
- W2020355880 hasConcept C99498987 @default.
- W2020355880 hasConceptScore W2020355880C115961682 @default.
- W2020355880 hasConceptScore W2020355880C121332964 @default.
- W2020355880 hasConceptScore W2020355880C124504099 @default.
- W2020355880 hasConceptScore W2020355880C138885662 @default.
- W2020355880 hasConceptScore W2020355880C153008295 @default.
- W2020355880 hasConceptScore W2020355880C153180895 @default.
- W2020355880 hasConceptScore W2020355880C154945302 @default.
- W2020355880 hasConceptScore W2020355880C27206212 @default.
- W2020355880 hasConceptScore W2020355880C2778738651 @default.
- W2020355880 hasConceptScore W2020355880C2778755073 @default.
- W2020355880 hasConceptScore W2020355880C31972630 @default.
- W2020355880 hasConceptScore W2020355880C41008148 @default.
- W2020355880 hasConceptScore W2020355880C62520636 @default.
- W2020355880 hasConceptScore W2020355880C65885262 @default.
- W2020355880 hasConceptScore W2020355880C89600930 @default.
- W2020355880 hasConceptScore W2020355880C99498987 @default.
- W2020355880 hasLocation W20203558801 @default.
- W2020355880 hasOpenAccess W2020355880 @default.
- W2020355880 hasPrimaryLocation W20203558801 @default.
- W2020355880 hasRelatedWork W1593355959 @default.
- W2020355880 hasRelatedWork W2046050210 @default.
- W2020355880 hasRelatedWork W2069125993 @default.
- W2020355880 hasRelatedWork W2077498183 @default.
- W2020355880 hasRelatedWork W2097290238 @default.
- W2020355880 hasRelatedWork W2145534753 @default.
- W2020355880 hasRelatedWork W2169846901 @default.
- W2020355880 hasRelatedWork W2509547552 @default.
- W2020355880 hasRelatedWork W2587662788 @default.
- W2020355880 hasRelatedWork W2609168634 @default.
- W2020355880 hasRelatedWork W2610784759 @default.
- W2020355880 hasRelatedWork W2765331251 @default.
- W2020355880 hasRelatedWork W2791633306 @default.
- W2020355880 hasRelatedWork W2891894562 @default.
- W2020355880 hasRelatedWork W2897570222 @default.
- W2020355880 hasRelatedWork W3008017331 @default.
- W2020355880 hasRelatedWork W3028105405 @default.
- W2020355880 hasRelatedWork W3154627145 @default.
- W2020355880 hasRelatedWork W3078413385 @default.
- W2020355880 hasRelatedWork W3169978484 @default.
- W2020355880 isParatext "false" @default.
- W2020355880 isRetracted "false" @default.
- W2020355880 magId "2020355880" @default.
- W2020355880 workType "article" @default.