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J-GLOBAL ID:202202280777422167   Reference number:22A2092834

患者の心臓動的形状とメタデータを用いた虚血性心疾患診断システムの構築

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Material:
Volume: 122  Issue: 98(MI2022 32-48)  Page: 16-17 (WEB ONLY)  Publication year: Jul. 01, 2022 
JST Material Number: U2030A  ISSN: 2432-6380  Document type: Proceedings
Article type: 短報  Country of issue: Japan (JPN)  Language: JAPANESE (JA)
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Thesaurus term/Semi thesaurus term
Keywords indexed to the article.
All keywords is available on JDreamIII(charged).
On J-GLOBAL, this item will be available after more than half a year after the record posted. In addtion, medical articles require to login to MyJ-GLOBAL.
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Category name(code) classified by JST.
Cardiovascular system diagnosis 
Reference (3):
  • C. Biffi, et al., “Explainable anatomical shape analysis through deep hierarchical generative models,” IEEE transactions on medical imaging, 39(6), pp. 2088-2099, 2020.
  • C. Qin, et al., “Joint learning of motion estimation and segmentation for cardiac mr image sequences,” MICCAI, pp. 472-480, 2018.
  • UK Biobank, https://www.ukbiobank.ac.uk/, 最終検索日: 2022/5/30.

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