2023
DOI: 10.3390/s23020690
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Cardiac Magnetic Resonance Image Segmentation Method Based on Multi-Scale Feature Fusion and Sequence Relationship Learning

Abstract: Accurate segmentation of the left atrial structure using magnetic resonance images provides an important basis for the diagnosis of atrial fibrillation (AF) and its treatment using robotic surgery. In this study, an image segmentation method based on sequence relationship learning and multi-scale feature fusion is proposed for 3D to 2D sequence conversion in cardiac magnetic resonance images and the varying scales of left atrial structures within different slices. Firstly, a convolutional neural network layer … Show more

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Cited by 5 publications
(1 citation statement)
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“…Publication DSC [38] 0.932 [39] 0.926 [40] 0.925 [10] 0.925 [41] 0.923 [42] 0.920 [43] 0.932 [44] 0.919 [45] 0.903 [46] 0.898 [47] 0.923 [48] 0.920 [49] 0.913 [50] 0.923 [51] 0.921 [52] 0.911 [34] 0.935 [35] 0.934 [53] 0.919 [54] 0.910 [55] 0.918 [56] 0.920 [36] 0.926…”
Section: Dsc-dice Scorementioning
confidence: 99%
“…Publication DSC [38] 0.932 [39] 0.926 [40] 0.925 [10] 0.925 [41] 0.923 [42] 0.920 [43] 0.932 [44] 0.919 [45] 0.903 [46] 0.898 [47] 0.923 [48] 0.920 [49] 0.913 [50] 0.923 [51] 0.921 [52] 0.911 [34] 0.935 [35] 0.934 [53] 0.919 [54] 0.910 [55] 0.918 [56] 0.920 [36] 0.926…”
Section: Dsc-dice Scorementioning
confidence: 99%