Left Ventricle Segmentation in Cardiac MR Images via an Improved ResUnet
Cardiovascular diseases are reported as the leading cause of death around the world. Automatic segmentation of the left ventricle (LV) from magnetic resonance (MR) images is essential for an early diagnosis. An enhanced ResUnet is proposed in this paper to improve the performance of extracting LV en...
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Main Authors: | Shengzhou Xu, Haoran Lu, Shiyu Cheng, Chengdan Pei |
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Format: | Article |
Language: | English |
Published: |
Wiley
2022-01-01
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Series: | International Journal of Biomedical Imaging |
Online Access: | http://dx.doi.org/10.1155/2022/8669305 |
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