FRINK Linked Data Fragments server

Matches in SemOpenAlex for { <https://semopenalex.org/work/W2914533527> ?p ?o ?g. }

• W2914533527 endingPage "987" @default.
• W2914533527 startingPage "976" @default.
• W2914533527 abstract "The performance of left ventricular (LV) functional assessment using gated myocardial perfusion SPECT (MPS) relies on the accuracy of segmentation. Current methods require manual adjustments that are tedious and subjective. We propose a novel machine-learning-based method to automatically segment LV myocardium and measure its volume in gated MPS imaging without human intervention. We used an end-to-end fully convolutional neural network to segment LV myocardium by delineating its endocardial and epicardial surface. A novel compound loss function, which encourages similarity and penalizes discrepancy between prediction and training dataset, is utilized in training stage to achieve excellent performance. We retrospectively investigated 32 normal patients and 24 abnormal patients, whose LV myocardial contours automatically segmented by our method were compared with those delineated by physicians as the ground truth. The results of our method demonstrated very good agreement with the ground truth. The average DSC metrics and Hausdorff distance of the contours delineated by our method are larger than 0.900 and less than 1 cm, respectively, among all 32 + 24 patients of all phases. The correlation coefficient of the LV myocardium volume between ground truth and our results is 0.910 ± 0.061 (P < 0.001), and the mean relative error of LV myocardium volume is − 1.09 ± 3.66%. These results strongly indicate the feasibility of our method in accurately quantifying LV myocardium volume change over the cardiac cycle. The learning-based segmentation method in gated MPS imaging has great promise for clinical use." @default.
• W2914533527 created "2019-02-21" @default.
• W2914533527 creator A5009731683 @default.
• W2914533527 creator A5011903902 @default.
• W2914533527 creator A5011955671 @default.
• W2914533527 creator A5020886680 @default.
• W2914533527 creator A5026088869 @default.
• W2914533527 creator A5026327136 @default.
• W2914533527 creator A5030054597 @default.
• W2914533527 creator A5049656223 @default.
• W2914533527 creator A5071315431 @default.
• W2914533527 creator A5075149548 @default.
• W2914533527 creator A5080256711 @default.
• W2914533527 creator A5081902734 @default.
• W2914533527 date "2019-01-28" @default.
• W2914533527 modified "2023-10-05" @default.
• W2914533527 title "A learning-based automatic segmentation and quantification method on left ventricle in gated myocardial perfusion SPECT imaging: A feasibility study" @default.
• W2914533527 cites W1990173974 @default.
• W2914533527 cites W1992890029 @default.
• W2914533527 cites W1998366932 @default.
• W2914533527 cites W1999510683 @default.
• W2914533527 cites W2034177003 @default.
• W2914533527 cites W2037828313 @default.
• W2914533527 cites W2058740449 @default.
• W2914533527 cites W2103637769 @default.
• W2914533527 cites W2122819137 @default.
• W2914533527 cites W2157192858 @default.
• W2914533527 cites W2161646835 @default.
• W2914533527 cites W2214481944 @default.
• W2914533527 cites W2404618390 @default.
• W2914533527 cites W2548617625 @default.
• W2914533527 cites W2804047627 @default.
• W2914533527 cites W2962914239 @default.
• W2914533527 doi "https://doi.org/10.1007/s12350-019-01594-2" @default.
• W2914533527 hasPubMedId "https://pubmed.ncbi.nlm.nih.gov/30693428" @default.
• W2914533527 hasPublicationYear "2019" @default.
• W2914533527 type Work @default.
• W2914533527 sameAs 2914533527 @default.
• W2914533527 citedByCount "66" @default.
• W2914533527 countsByYear W29145335272019 @default.
• W2914533527 countsByYear W29145335272020 @default.
• W2914533527 countsByYear W29145335272021 @default.
• W2914533527 countsByYear W29145335272022 @default.
• W2914533527 countsByYear W29145335272023 @default.
• W2914533527 crossrefType "journal-article" @default.
• W2914533527 hasAuthorship W2914533527A5009731683 @default.
• W2914533527 hasAuthorship W2914533527A5011903902 @default.
• W2914533527 hasAuthorship W2914533527A5011955671 @default.
• W2914533527 hasAuthorship W2914533527A5020886680 @default.
• W2914533527 hasAuthorship W2914533527A5026088869 @default.
• W2914533527 hasAuthorship W2914533527A5026327136 @default.
• W2914533527 hasAuthorship W2914533527A5030054597 @default.
• W2914533527 hasAuthorship W2914533527A5049656223 @default.
• W2914533527 hasAuthorship W2914533527A5071315431 @default.
• W2914533527 hasAuthorship W2914533527A5075149548 @default.
• W2914533527 hasAuthorship W2914533527A5080256711 @default.
• W2914533527 hasAuthorship W2914533527A5081902734 @default.
• W2914533527 hasBestOaLocation W29145335271 @default.
• W2914533527 hasConcept C121332964 @default.
• W2914533527 hasConcept C126838900 @default.
• W2914533527 hasConcept C141898687 @default.
• W2914533527 hasConcept C146849305 @default.
• W2914533527 hasConcept C146957229 @default.
• W2914533527 hasConcept C153180895 @default.
• W2914533527 hasConcept C154945302 @default.
• W2914533527 hasConcept C164705383 @default.
• W2914533527 hasConcept C20556612 @default.
• W2914533527 hasConcept C2778921608 @default.
• W2914533527 hasConcept C2989005 @default.
• W2914533527 hasConcept C41008148 @default.
• W2914533527 hasConcept C62520636 @default.
• W2914533527 hasConcept C71924100 @default.
• W2914533527 hasConcept C81363708 @default.
• W2914533527 hasConcept C89600930 @default.
• W2914533527 hasConceptScore W2914533527C121332964 @default.
• W2914533527 hasConceptScore W2914533527C126838900 @default.
• W2914533527 hasConceptScore W2914533527C141898687 @default.
• W2914533527 hasConceptScore W2914533527C146849305 @default.
• W2914533527 hasConceptScore W2914533527C146957229 @default.
• W2914533527 hasConceptScore W2914533527C153180895 @default.
• W2914533527 hasConceptScore W2914533527C154945302 @default.
• W2914533527 hasConceptScore W2914533527C164705383 @default.
• W2914533527 hasConceptScore W2914533527C20556612 @default.
• W2914533527 hasConceptScore W2914533527C2778921608 @default.
• W2914533527 hasConceptScore W2914533527C2989005 @default.
• W2914533527 hasConceptScore W2914533527C41008148 @default.
• W2914533527 hasConceptScore W2914533527C62520636 @default.
• W2914533527 hasConceptScore W2914533527C71924100 @default.
• W2914533527 hasConceptScore W2914533527C81363708 @default.
• W2914533527 hasConceptScore W2914533527C89600930 @default.
• W2914533527 hasIssue "3" @default.
• W2914533527 hasLocation W29145335271 @default.
• W2914533527 hasLocation W29145335272 @default.
• W2914533527 hasOpenAccess W2914533527 @default.
• W2914533527 hasPrimaryLocation W29145335271 @default.
• W2914533527 hasRelatedWork W1982685118 @default.
• W2914533527 hasRelatedWork W2130151498 @default.
• W2914533527 hasRelatedWork W2708499541 @default.

• next