Evaluating the pre-processing impact on the generalization of deep learning networks for left ventricle segmentation-Reference-Cited by-同舟云学术

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Evaluating the pre-processing impact on the generalization of deep learning networks for left ventricle segmentation

Published:2021-12-09 Issue: Volume: Page:
ISSN:
Container-title:2021 IEEE International Conference on Bioinformatics and Biomedicine (BIBM)
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Author:

Ribeiro Matheus A. O.,Nunes Fatima L. S.

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9669261/9669139/09669630.pdf?arnumber=9669630

Reference46 articles.

1. Multi-component deformable models coupled with 2D-3D U-Net for automated probabilistic segmentation of cardiac walls and blood

2. Neural Networks and Deep Learning

3. Automatic cardiac region-of-interest computation in cine 3D structural MRI

4. A Threshold Selection Method from Gray-Level Histograms

5. Improving the generalization of deep learning methods to segment the left ventricle in short axis MR images

Cited by 1 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Improving Deep Learning Shape Consistency with a New Loss Function for Left Ventricle Segmentation in Cardiac MRI;2023 IEEE 36th International Symposium on Computer-Based Medical Systems (CBMS);2023-06

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