Improving the generalizability of convolutional neural network-based segmentation on CMR images
Improving the generalizability of convolutional neural network-based segmentation on CMR images
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Ithaca: Cornell University Library, arXiv.org
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English
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Publisher
Ithaca: Cornell University Library, arXiv.org
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Contents
Convolutional neural network (CNN) based segmentation methods provide an efficient and automated way for clinicians to assess the structure and function of the heart in cardiac MR images. While CNNs can generally perform the segmentation tasks with high accuracy when training and test images come from the same domain (e.g. same scanner or site), th...
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Full title
Improving the generalizability of convolutional neural network-based segmentation on CMR images
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TN_cdi_proquest_journals_2251839515
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https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_proquest_journals_2251839515
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E-ISSN
2331-8422
DOI
10.48550/arxiv.1907.01268
