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Right ventricular strain and volume analyses through deep learning-based fully automatic segmentation based on radial long-axis reconstruction of short-axis cine magnetic resonance images.
Kawakubo, Masateru; Moriyama, Daichi; Yamasaki, Yuzo; Abe, Kohtaro; Hosokawa, Kazuya; Moriyama, Tetsuhiro; Triadyaksa, Pandji; Wibowo, Adi; Nagao, Michinobu; Arai, Hideo; Nishimura, Hiroshi; Kadokami, Toshiaki.
  • Kawakubo M; Department of Health Sciences, Faculty of Medical Sciences, Kyushu University, 3-1-1 Maidashi, Higashi-ku, Fukuoka-shi, Fukuoka, 812-8582, Japan. kawakubo.masateru.968@m.kyushu-u.ac.jp.
  • Moriyama D; Department of Health Sciences, School of Medical Sciences, Kyushu University, Fukuoka, Japan.
  • Yamasaki Y; Department of Radiological Technology, Hiroshima City Hiroshima Citizens Hospital, Hiroshima, Japan.
  • Abe K; Department of Clinical Radiology, Graduate School of Medical Sciences, Kyushu University, Fukuoka, Japan.
  • Hosokawa K; Department of Cardiovascular Medicine, Graduate School of Medical Sciences, Kyushu University, Fukuoka, Japan.
  • Moriyama T; Department of Cardiovascular Medicine, Graduate School of Medical Sciences, Kyushu University, Fukuoka, Japan.
  • Triadyaksa P; Institute of Mathematics for Industry, Kyushu University, Fukuoka, Japan.
  • Wibowo A; Department of Physics, Faculty of Science and Mathematics, Universitas Diponegoro, Semarang, Indonesia.
  • Nagao M; Department of Computer Science, Faculty of Science and Mathematics, Universitas Diponegoro, Semarang, Indonesia.
  • Arai H; Department of Diagnostic Imaging and Nuclear Medicine, Tokyo Women's Medical University, Tokyo, Japan.
  • Nishimura H; Fukuokaken Saiseikai, Futsukaichi Hospital, Fukuoka, Japan.
  • Kadokami T; Fukuokaken Saiseikai, Futsukaichi Hospital, Fukuoka, Japan.
MAGMA ; 35(6): 911-921, 2022 Dec.
Article en En | MEDLINE | ID: mdl-35585430
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Texto completo: 1 Banco de datos: MEDLINE Asunto principal: Aprendizaje Profundo / Ventrículos Cardíacos Idioma: En Año: 2022 Tipo del documento: Article
Texto completo
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XML
PubMed Links
Search on Google

Texto completo: 1 Banco de datos: MEDLINE Asunto principal: Aprendizaje Profundo / Ventrículos Cardíacos Idioma: En Año: 2022 Tipo del documento: Article