Matches in SemOpenAlex for { <https://semopenalex.org/work/W4309046945> ?p ?o ?g. }
Showing items 1 to 62 of
62
with 100 items per page.
- W4309046945 abstract "Automated identification of myocardial scar from late gadolinium enhancement cardiac magnetic resonance images (LGE-CMR) is limited by image noise and artifacts such as those related to motion and partial volume effect. This paper presents a novel joint deep learning (JDL) framework that improves such tasks by utilizing simultaneously learned myocardium segmentations to eliminate negative effects from non-region-of-interest areas. In contrast to previous approaches treating scar detection and myocardium segmentation as separate or parallel tasks, our proposed method introduces a message passing module where the information of myocardium segmentation is directly passed to guide scar detectors. This newly designed network will efficiently exploit joint information from the two related tasks and use all available sources of myocardium segmentation to benefit scar identification. We demonstrate the effectiveness of JDL on LGE-CMR images for automated left ventricular (LV) scar detection, with great potential to improve risk prediction in patients with both ischemic and non-ischemic heart disease and to improve response rates to cardiac resynchronization therapy (CRT) for heart failure patients. Experimental results show that our proposed approach outperforms multiple state-of-the-art methods, including commonly used two-step segmentation-classification networks, and multitask learning schemes where subtasks are indirectly interacted." @default.
- W4309046945 created "2022-11-21" @default.
- W4309046945 creator A5024917626 @default.
- W4309046945 creator A5039107780 @default.
- W4309046945 creator A5051434566 @default.
- W4309046945 creator A5053371530 @default.
- W4309046945 creator A5063695524 @default.
- W4309046945 date "2022-11-11" @default.
- W4309046945 modified "2023-09-30" @default.
- W4309046945 title "Joint Deep Learning for Improved Myocardial Scar Detection from Cardiac MRI" @default.
- W4309046945 doi "https://doi.org/10.48550/arxiv.2211.06247" @default.
- W4309046945 hasPublicationYear "2022" @default.
- W4309046945 type Work @default.
- W4309046945 citedByCount "0" @default.
- W4309046945 crossrefType "posted-content" @default.
- W4309046945 hasAuthorship W4309046945A5024917626 @default.
- W4309046945 hasAuthorship W4309046945A5039107780 @default.
- W4309046945 hasAuthorship W4309046945A5051434566 @default.
- W4309046945 hasAuthorship W4309046945A5053371530 @default.
- W4309046945 hasAuthorship W4309046945A5063695524 @default.
- W4309046945 hasBestOaLocation W43090469451 @default.
- W4309046945 hasConcept C108583219 @default.
- W4309046945 hasConcept C126838900 @default.
- W4309046945 hasConcept C143409427 @default.
- W4309046945 hasConcept C153180895 @default.
- W4309046945 hasConcept C154945302 @default.
- W4309046945 hasConcept C164705383 @default.
- W4309046945 hasConcept C2776034619 @default.
- W4309046945 hasConcept C2778198053 @default.
- W4309046945 hasConcept C41008148 @default.
- W4309046945 hasConcept C71924100 @default.
- W4309046945 hasConcept C78085059 @default.
- W4309046945 hasConcept C89600930 @default.
- W4309046945 hasConceptScore W4309046945C108583219 @default.
- W4309046945 hasConceptScore W4309046945C126838900 @default.
- W4309046945 hasConceptScore W4309046945C143409427 @default.
- W4309046945 hasConceptScore W4309046945C153180895 @default.
- W4309046945 hasConceptScore W4309046945C154945302 @default.
- W4309046945 hasConceptScore W4309046945C164705383 @default.
- W4309046945 hasConceptScore W4309046945C2776034619 @default.
- W4309046945 hasConceptScore W4309046945C2778198053 @default.
- W4309046945 hasConceptScore W4309046945C41008148 @default.
- W4309046945 hasConceptScore W4309046945C71924100 @default.
- W4309046945 hasConceptScore W4309046945C78085059 @default.
- W4309046945 hasConceptScore W4309046945C89600930 @default.
- W4309046945 hasLocation W43090469451 @default.
- W4309046945 hasLocation W43090469452 @default.
- W4309046945 hasOpenAccess W4309046945 @default.
- W4309046945 hasPrimaryLocation W43090469451 @default.
- W4309046945 hasRelatedWork W2738221750 @default.
- W4309046945 hasRelatedWork W2790662084 @default.
- W4309046945 hasRelatedWork W2885590963 @default.
- W4309046945 hasRelatedWork W2954384599 @default.
- W4309046945 hasRelatedWork W2960184797 @default.
- W4309046945 hasRelatedWork W3104734424 @default.
- W4309046945 hasRelatedWork W3209779739 @default.
- W4309046945 hasRelatedWork W4226289457 @default.
- W4309046945 hasRelatedWork W4285827401 @default.
- W4309046945 hasRelatedWork W4295036012 @default.
- W4309046945 isParatext "false" @default.
- W4309046945 isRetracted "false" @default.
- W4309046945 workType "article" @default.