Matches in SemOpenAlex for { <https://semopenalex.org/work/W2896902764> ?p ?o ?g. }
Showing items 1 to 86 of
86
with 100 items per page.
- W2896902764 abstract "Bioresorbable Vascular Scaffold (BVS) is the latest stent type for the treatment of coronary artery disease. A major challenge of BVS is that once it is malapposed during implantation, it may potentially increase the risks of late stent thrombosis. Therefore it is important to analyze struts malapposition during implantation. This paper presents an automatic method for BVS malapposition analysis in intravascular optical coherence tomography images. Struts are firstly detected by a detector trained through deep learning. Then, struts boundaries are segmented using dynamic programming. Based on the segmentation, apposed and malapposed struts are discriminated automatically. Experimental results show that the proposed method successfully detected 97.7% of 4029 BVS struts with 2.41% false positives. The average Dice coefficient between the segmented struts and ground truth was 0.809. It concludes that the proposed method is accurate and efficient for BVS struts detection and segmentation, and enables automatic malapposition analysis." @default.
- W2896902764 created "2018-10-26" @default.
- W2896902764 creator A5014111141 @default.
- W2896902764 creator A5050875699 @default.
- W2896902764 creator A5066002705 @default.
- W2896902764 creator A5069653714 @default.
- W2896902764 creator A5074307579 @default.
- W2896902764 creator A5081663262 @default.
- W2896902764 creator A5084136821 @default.
- W2896902764 date "2018-01-01" @default.
- W2896902764 modified "2023-09-23" @default.
- W2896902764 title "Deep Learning-Based Detection and Segmentation for BVS Struts in IVOCT Images" @default.
- W2896902764 cites W1958806846 @default.
- W2896902764 cites W2050044375 @default.
- W2896902764 cites W2108598243 @default.
- W2896902764 cites W2131910503 @default.
- W2896902764 cites W2144506857 @default.
- W2896902764 cites W2165754633 @default.
- W2896902764 cites W2194775991 @default.
- W2896902764 cites W2697049206 @default.
- W2896902764 cites W2768546708 @default.
- W2896902764 cites W2919115771 @default.
- W2896902764 doi "https://doi.org/10.1007/978-3-030-01364-6_7" @default.
- W2896902764 hasPublicationYear "2018" @default.
- W2896902764 type Work @default.
- W2896902764 sameAs 2896902764 @default.
- W2896902764 citedByCount "0" @default.
- W2896902764 crossrefType "book-chapter" @default.
- W2896902764 hasAuthorship W2896902764A5014111141 @default.
- W2896902764 hasAuthorship W2896902764A5050875699 @default.
- W2896902764 hasAuthorship W2896902764A5066002705 @default.
- W2896902764 hasAuthorship W2896902764A5069653714 @default.
- W2896902764 hasAuthorship W2896902764A5074307579 @default.
- W2896902764 hasAuthorship W2896902764A5081663262 @default.
- W2896902764 hasAuthorship W2896902764A5084136821 @default.
- W2896902764 hasConcept C124504099 @default.
- W2896902764 hasConcept C126838900 @default.
- W2896902764 hasConcept C146849305 @default.
- W2896902764 hasConcept C153180895 @default.
- W2896902764 hasConcept C154945302 @default.
- W2896902764 hasConcept C163892561 @default.
- W2896902764 hasConcept C2778818243 @default.
- W2896902764 hasConcept C31972630 @default.
- W2896902764 hasConcept C41008148 @default.
- W2896902764 hasConcept C64869954 @default.
- W2896902764 hasConcept C71924100 @default.
- W2896902764 hasConcept C89600930 @default.
- W2896902764 hasConceptScore W2896902764C124504099 @default.
- W2896902764 hasConceptScore W2896902764C126838900 @default.
- W2896902764 hasConceptScore W2896902764C146849305 @default.
- W2896902764 hasConceptScore W2896902764C153180895 @default.
- W2896902764 hasConceptScore W2896902764C154945302 @default.
- W2896902764 hasConceptScore W2896902764C163892561 @default.
- W2896902764 hasConceptScore W2896902764C2778818243 @default.
- W2896902764 hasConceptScore W2896902764C31972630 @default.
- W2896902764 hasConceptScore W2896902764C41008148 @default.
- W2896902764 hasConceptScore W2896902764C64869954 @default.
- W2896902764 hasConceptScore W2896902764C71924100 @default.
- W2896902764 hasConceptScore W2896902764C89600930 @default.
- W2896902764 hasLocation W28969027641 @default.
- W2896902764 hasOpenAccess W2896902764 @default.
- W2896902764 hasPrimaryLocation W28969027641 @default.
- W2896902764 hasRelatedWork W10224939 @default.
- W2896902764 hasRelatedWork W2037531534 @default.
- W2896902764 hasRelatedWork W2050044375 @default.
- W2896902764 hasRelatedWork W2056390716 @default.
- W2896902764 hasRelatedWork W2070108048 @default.
- W2896902764 hasRelatedWork W2119836421 @default.
- W2896902764 hasRelatedWork W2128393588 @default.
- W2896902764 hasRelatedWork W2168199290 @default.
- W2896902764 hasRelatedWork W2300862301 @default.
- W2896902764 hasRelatedWork W2507173191 @default.
- W2896902764 hasRelatedWork W2523089747 @default.
- W2896902764 hasRelatedWork W2783934756 @default.
- W2896902764 hasRelatedWork W2802815044 @default.
- W2896902764 hasRelatedWork W2890805639 @default.
- W2896902764 hasRelatedWork W2921216241 @default.
- W2896902764 hasRelatedWork W2922413207 @default.
- W2896902764 hasRelatedWork W2999570736 @default.
- W2896902764 hasRelatedWork W3005455668 @default.
- W2896902764 hasRelatedWork W3132772604 @default.
- W2896902764 hasRelatedWork W592291501 @default.
- W2896902764 isParatext "false" @default.
- W2896902764 isRetracted "false" @default.
- W2896902764 magId "2896902764" @default.
- W2896902764 workType "book-chapter" @default.