Effective encoder-decoder neural network for segmentation of orbital tissue in computed tomography i...
Effective encoder-decoder neural network for segmentation of orbital tissue in computed tomography images of Graves’ orbitopathy patients
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United States: Public Library of Science
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Language
English
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Publisher
United States: Public Library of Science
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Scope and Contents
Contents
To propose a neural network (NN) that can effectively segment orbital tissue in computed tomography (CT) images of Graves' orbitopathy (GO) patients.
We analyzed orbital CT scans from 701 GO patients diagnosed between 2010 and 2019 and devised an effective NN specializing in semantic orbital tissue segmentation in GO patients' CT images. After f...
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Full title
Effective encoder-decoder neural network for segmentation of orbital tissue in computed tomography images of Graves’ orbitopathy patients
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TN_cdi_plos_journals_2811921295
Permalink
https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_plos_journals_2811921295
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ISSN
1932-6203
E-ISSN
1932-6203
DOI
10.1371/journal.pone.0285488
