Learning Deep Representations of Cardiac Structures for 4D Cine MRI Image Segmentation through Semi-Supervised Learning
Learning good data representations for medical imaging tasks ensures the preservation of relevant information and the removal of irrelevant information from the data to improve the interpretability of the learned features. In this paper, we propose a semi-supervised model—namely, combine-all in semi...
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| Published in: | Applied sciences Vol. 12; no. 23; p. 12163 |
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| Main Authors: | , |
| Format: | Journal Article |
| Language: | English |
| Published: |
Switzerland
MDPI AG
01.12.2022
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| Subjects: | |
| ISSN: | 2076-3417, 2076-3417 |
| Online Access: | Get full text |
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