Left ventricular segmentation method based on optimized UNet and improved CBAM: ESV and EDV tracking study

• Kerang Cao,

  Roles Writing – original draft, Writing – review & editing

  Affiliations College of Computer Science and Technology, Shenyang University of Chemical Technology, Shenyang, China, Key Laboratory of Intelligent Technology of Chemical Process Industry in Liaoning Province, Shenyang, China,

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• Miao Zhao,

  Roles Writing – original draft, Writing – review & editing

  Affiliations College of Computer Science and Technology, Shenyang University of Chemical Technology, Shenyang, China, Key Laboratory of Intelligent Technology of Chemical Process Industry in Liaoning Province, Shenyang, China,

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• Minghui Geng,

  Roles Software

  Affiliations College of Computer Science and Technology, Shenyang University of Chemical Technology, Shenyang, China, Key Laboratory of Intelligent Technology of Chemical Process Industry in Liaoning Province, Shenyang, China,

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• Shuai Zheng,

  Roles Visualization

  Affiliations College of Computer Science and Technology, Shenyang University of Chemical Technology, Shenyang, China, Key Laboratory of Intelligent Technology of Chemical Process Industry in Liaoning Province, Shenyang, China,

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• Hoekyung Jung

  Roles Writing – review & editing

  * E-mail: hkjung@pcu.ac.kr

  Affiliation Computer Engineering Department, Paichai University, Daejeon, Korea

  https://orcid.org/0000-0002-7607-1126

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