Matches in SemOpenAlex for { <https://semopenalex.org/work/W4288043304> ?p ?o ?g. }
Showing items 1 to 67 of
67
with 100 items per page.
- W4288043304 abstract "Neural networks have been proposed for medical image registration by learning, with a substantial amount of training data, the optimal transformations between image pairs. These trained networks can further be optimized on a single pair of test images - known as test-time optimization. This work formulates image registration as a meta-learning algorithm. Such networks can be trained by aligning the training image pairs while simultaneously improving test-time optimization efficacy; tasks which were previously considered two independent training and optimization processes. The proposed meta-registration is hypothesized to maximize the efficiency and effectiveness of the test-time optimization in the outer meta-optimization of the networks. For image guidance applications that often are time-critical yet limited in training data, the potentially gained speed and accuracy are compared with classical registration algorithms, registration networks without meta-learning, and single-pair optimization without test-time optimization data. Experiments are presented in this paper using clinical transrectal ultrasound image data from 108 prostate cancer patients. These experiments demonstrate the effectiveness of a meta-registration protocol, which yields significantly improved performance relative to existing learning-based methods. Furthermore, the meta-registration achieves comparable results to classical iterative methods in a fraction of the time, owing to its rapid test-time optimization process." @default.
- W4288043304 created "2022-07-27" @default.
- W4288043304 creator A5032309114 @default.
- W4288043304 creator A5065017682 @default.
- W4288043304 creator A5066703217 @default.
- W4288043304 date "2022-07-22" @default.
- W4288043304 modified "2023-09-29" @default.
- W4288043304 title "Meta-Registration: Learning Test-Time Optimization for Single-Pair Image Registration" @default.
- W4288043304 doi "https://doi.org/10.48550/arxiv.2207.10996" @default.
- W4288043304 hasPublicationYear "2022" @default.
- W4288043304 type Work @default.
- W4288043304 citedByCount "0" @default.
- W4288043304 crossrefType "posted-content" @default.
- W4288043304 hasAuthorship W4288043304A5032309114 @default.
- W4288043304 hasAuthorship W4288043304A5065017682 @default.
- W4288043304 hasAuthorship W4288043304A5066703217 @default.
- W4288043304 hasBestOaLocation W42880433041 @default.
- W4288043304 hasConcept C11413529 @default.
- W4288043304 hasConcept C115961682 @default.
- W4288043304 hasConcept C119857082 @default.
- W4288043304 hasConcept C126255220 @default.
- W4288043304 hasConcept C137836250 @default.
- W4288043304 hasConcept C142724271 @default.
- W4288043304 hasConcept C153180895 @default.
- W4288043304 hasConcept C154945302 @default.
- W4288043304 hasConcept C166704113 @default.
- W4288043304 hasConcept C204787440 @default.
- W4288043304 hasConcept C2780385302 @default.
- W4288043304 hasConcept C2987595161 @default.
- W4288043304 hasConcept C31972630 @default.
- W4288043304 hasConcept C33923547 @default.
- W4288043304 hasConcept C41008148 @default.
- W4288043304 hasConcept C50644808 @default.
- W4288043304 hasConcept C71924100 @default.
- W4288043304 hasConceptScore W4288043304C11413529 @default.
- W4288043304 hasConceptScore W4288043304C115961682 @default.
- W4288043304 hasConceptScore W4288043304C119857082 @default.
- W4288043304 hasConceptScore W4288043304C126255220 @default.
- W4288043304 hasConceptScore W4288043304C137836250 @default.
- W4288043304 hasConceptScore W4288043304C142724271 @default.
- W4288043304 hasConceptScore W4288043304C153180895 @default.
- W4288043304 hasConceptScore W4288043304C154945302 @default.
- W4288043304 hasConceptScore W4288043304C166704113 @default.
- W4288043304 hasConceptScore W4288043304C204787440 @default.
- W4288043304 hasConceptScore W4288043304C2780385302 @default.
- W4288043304 hasConceptScore W4288043304C2987595161 @default.
- W4288043304 hasConceptScore W4288043304C31972630 @default.
- W4288043304 hasConceptScore W4288043304C33923547 @default.
- W4288043304 hasConceptScore W4288043304C41008148 @default.
- W4288043304 hasConceptScore W4288043304C50644808 @default.
- W4288043304 hasConceptScore W4288043304C71924100 @default.
- W4288043304 hasLocation W42880433041 @default.
- W4288043304 hasOpenAccess W4288043304 @default.
- W4288043304 hasPrimaryLocation W42880433041 @default.
- W4288043304 hasRelatedWork W17938315 @default.
- W4288043304 hasRelatedWork W2009466720 @default.
- W4288043304 hasRelatedWork W2011443206 @default.
- W4288043304 hasRelatedWork W2041698670 @default.
- W4288043304 hasRelatedWork W2125070361 @default.
- W4288043304 hasRelatedWork W2392187754 @default.
- W4288043304 hasRelatedWork W2469330841 @default.
- W4288043304 hasRelatedWork W2995419473 @default.
- W4288043304 hasRelatedWork W3163375306 @default.
- W4288043304 hasRelatedWork W4293868162 @default.
- W4288043304 isParatext "false" @default.
- W4288043304 isRetracted "false" @default.
- W4288043304 workType "article" @default.