Temporal-Consistent Segmentation of Echocardiography with Co-learning from Appearance and Shape
| العنوان: | Temporal-Consistent Segmentation of Echocardiography with Co-learning from Appearance and Shape |
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| المؤلفون: | Dong Ni, Wufeng Xue, Cao Heng, Yiqin Cao, Shuo Li, Hongrong Wei, Yongjin Zhou |
| المصدر: | Medical Image Computing and Computer Assisted Intervention – MICCAI 2020 ISBN: 9783030597122 MICCAI (2) |
| بيانات النشر: | Springer International Publishing, 2020. |
| سنة النشر: | 2020 |
| مصطلحات موضوعية: | Sequence, Computer science, business.industry, Consistency (statistics), Pattern recognition, Segmentation, Artificial intelligence, Tracking (particle physics), business |
| الوصف: | Accurate and temporal-consistent segmentation of echocardiography is important for diagnosing cardiovascular disease. Existing methods often ignore consistency among the segmentation sequences, leading to poor ejection fraction (EF) estimation. In this paper, we propose to enhance temporal consistency of the segmentation sequences with two co-learning strategies of segmentation and tracking from ultrasonic cardiac sequences where only end diastole and end systole frames are labeled. First, we design an appearance-level co-learning (CLA) strategy to make the segmentation and tracking benefit each other and provide an eligible estimation of cardiac shapes and motion fields. Second, we design another shape-level co-learning (CLS) strategy to further improve segmentation with pseudo labels propagated from the labeled frames and to enforce the temporal consistency by shape tracking across the whole sequence. Experimental results on the largest publicly-available echocardiographic dataset (CAMUS) show the proposed method, denoted as CLAS, outperforms existing methods for segmentation and EF estimation. In particular, CLAS can give segmentations of the whole sequences with high temporal consistency, thus achieves excellent estimation of EF, with Pearson correlation coefficient 0.926 and bias of 0.1%, which is even better than the intra-observer agreement. |
| ردمك: | 978-3-030-59712-2 |
| الوصول الحر: | https://explore.openaire.eu/search/publication?articleId=doi_________::c7c81d793b8a73060f4af0d7e6dccc5eTest https://doi.org/10.1007/978-3-030-59713-9_60Test |
| حقوق: | CLOSED |
| رقم الانضمام: | edsair.doi...........c7c81d793b8a73060f4af0d7e6dccc5e |
| قاعدة البيانات: | OpenAIRE |
| ردمك: | 9783030597122 |
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