Pseudo-3D Network for Multi-sequence Cardiac MR Segmentation

Liu, Tao; Tian, Yun; Zhao, Shu; Huang, Xing; Yang, Xu; Jiang, Gaoyuan; Wang, Qingjun

doi:10.1007/978-3-030-39074-7_25

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Comparison With Established and State Of The Art Techniques2

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2020

2023

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Cited by 5 publications

(2 citation statements)

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“…Table 5 summarizes the results, and compares the performance of MA-SOCRATIS with other published methods. The approach described by (Chen et al, 2020a,b;Liu et al, 2020a;Chen et al, 2019;Wang et al, 2020b) (%) (%) all slices in each patient. Segmentation areas that exceed the largest connected range were removed.…”

Section: Comparison With Established and State Of The Art Techniquesmentioning

confidence: 99%

See 1 more Smart Citation

MA-SOCRATIS: An automatic pipeline for robust segmentation of the left ventricle and scar

Mamalakis

Garg

Nelson

et al. 2021

Computerized Medical Imaging and Graphics

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Section: Comparison With Established and State Of The Art Techniquesmentioning

confidence: 99%

“…Segmentation areas that exceed the largest connected range were removed. The approach described by (Chen et al, 1998;Liu et al, 2020a;Wang et al, 2020b) In contrast to these studies, MA-SOCRATIS is free of any kind of multi-modal training in bSSFP or LGE-MRI images or…”

Section: Comparison With Established and State Of The Art Techniquesmentioning

confidence: 99%