Matches in SemOpenAlex for { <https://semopenalex.org/work/W3089592859> ?p ?o ?g. }
Showing items 1 to 69 of
69
with 100 items per page.
- W3089592859 abstract "The right ventricle (RV) is the largest heart cavity playing a vital role in the cardiac cycle and function. However, to assess its function in cardiac magnetic resonance imaging (CMRI), the segmentation is an essential but very challenging task due to the RV complex crescent shape, thin boundaries, as well as the high variability of images. Indeed, to overcome these issues, several approaches have been proposed. In this paper, we aim to highlight the impact of various short-axis slices on the segmentation process. For that sake, based on the Cvi42 advanced deep learning base software, we assess the effectiveness of the RV contour delineation process over an entire MRI cardiac short-axis slice. We consider for evaluating the accuracy, the Dice Score Metric (DSM), as well as some RV functional parameters such as the Ejection Fraction, the End-Systolic-Volume, and the End-Diastolic-Volume. Our experimental assessment is done using two CMRI exams of both healthy and diseased patients. We consider for evaluation the whole short-axis frames from base to apex and from end-systole to end-diastole. The evaluation results show that: (1) The segmentation accuracy is influenced by the slice level especially on the basal and apical slices, (2) A huge accuracy decreasing for the case of a patient having dysplasia." @default.
- W3089592859 created "2020-10-08" @default.
- W3089592859 creator A5002464906 @default.
- W3089592859 creator A5025544894 @default.
- W3089592859 creator A5049947233 @default.
- W3089592859 creator A5052963646 @default.
- W3089592859 creator A5067525029 @default.
- W3089592859 date "2020-01-01" @default.
- W3089592859 modified "2023-10-18" @default.
- W3089592859 title "Accuracy Assessment of a Deep-Learning Based Segmentation Tool Over Right Ventricle Short-Axis Slices" @default.
- W3089592859 cites W1597879689 @default.
- W3089592859 cites W2055551268 @default.
- W3089592859 cites W2057441779 @default.
- W3089592859 cites W2083383847 @default.
- W3089592859 cites W2110360234 @default.
- W3089592859 cites W2200041975 @default.
- W3089592859 cites W2602088477 @default.
- W3089592859 cites W2792115253 @default.
- W3089592859 cites W2795271607 @default.
- W3089592859 cites W2914410118 @default.
- W3089592859 doi "https://doi.org/10.1007/978-3-030-49815-3_14" @default.
- W3089592859 hasPublicationYear "2020" @default.
- W3089592859 type Work @default.
- W3089592859 sameAs 3089592859 @default.
- W3089592859 citedByCount "2" @default.
- W3089592859 countsByYear W30895928592021 @default.
- W3089592859 countsByYear W30895928592022 @default.
- W3089592859 crossrefType "book-chapter" @default.
- W3089592859 hasAuthorship W3089592859A5002464906 @default.
- W3089592859 hasAuthorship W3089592859A5025544894 @default.
- W3089592859 hasAuthorship W3089592859A5049947233 @default.
- W3089592859 hasAuthorship W3089592859A5052963646 @default.
- W3089592859 hasAuthorship W3089592859A5067525029 @default.
- W3089592859 hasBestOaLocation W30895928592 @default.
- W3089592859 hasConcept C126322002 @default.
- W3089592859 hasConcept C154945302 @default.
- W3089592859 hasConcept C2778921608 @default.
- W3089592859 hasConcept C31972630 @default.
- W3089592859 hasConcept C41008148 @default.
- W3089592859 hasConcept C71924100 @default.
- W3089592859 hasConcept C89600930 @default.
- W3089592859 hasConceptScore W3089592859C126322002 @default.
- W3089592859 hasConceptScore W3089592859C154945302 @default.
- W3089592859 hasConceptScore W3089592859C2778921608 @default.
- W3089592859 hasConceptScore W3089592859C31972630 @default.
- W3089592859 hasConceptScore W3089592859C41008148 @default.
- W3089592859 hasConceptScore W3089592859C71924100 @default.
- W3089592859 hasConceptScore W3089592859C89600930 @default.
- W3089592859 hasLocation W30895928591 @default.
- W3089592859 hasLocation W30895928592 @default.
- W3089592859 hasLocation W30895928593 @default.
- W3089592859 hasLocation W30895928594 @default.
- W3089592859 hasLocation W30895928595 @default.
- W3089592859 hasOpenAccess W3089592859 @default.
- W3089592859 hasPrimaryLocation W30895928591 @default.
- W3089592859 hasRelatedWork W1669643531 @default.
- W3089592859 hasRelatedWork W1982826852 @default.
- W3089592859 hasRelatedWork W2005437358 @default.
- W3089592859 hasRelatedWork W2008656436 @default.
- W3089592859 hasRelatedWork W2023558673 @default.
- W3089592859 hasRelatedWork W2110230079 @default.
- W3089592859 hasRelatedWork W2134924024 @default.
- W3089592859 hasRelatedWork W2517104666 @default.
- W3089592859 hasRelatedWork W2613186388 @default.
- W3089592859 hasRelatedWork W1967061043 @default.
- W3089592859 isParatext "false" @default.
- W3089592859 isRetracted "false" @default.
- W3089592859 magId "3089592859" @default.
- W3089592859 workType "book-chapter" @default.