| 書目名稱 | Fast and Low-Resource Semi-supervised Abdominal Organ Segmentation |
| 副標題 | MICCAI 2022 Challeng |
| 編輯 | Jun Ma,Bo Wang |
| 視頻video | http://file.papertrans.cn/342/341334/341334.mp4 |
| 叢書名稱 | Lecture Notes in Computer Science |
| 圖書封面 |  |
| 描述 | .This book constitutes the proceedings of the MICCAI 2022 Challenge, FLARE 2022, held in Conjunction with MICCAI 2022, in Singapore, on September 22, 2022...The 28 full papers presented in this book were carefully reviewed and selected from 48 submissions.?The papers present research and results for abdominal organ segmentation which has many important clinical applications, such as organ quantification, surgical planning, and disease diagnosis.. |
| 出版日期 | Conference proceedings 2022 |
| 關鍵詞 | computing methodologies; artificial intelligence; computer vision tasks; scene understanding; medical im |
| 版次 | 1 |
| doi | https://doi.org/10.1007/978-3-031-23911-3 |
| isbn_softcover | 978-3-031-23910-6 |
| isbn_ebook | 978-3-031-23911-3Series ISSN 0302-9743 Series E-ISSN 1611-3349 |
| issn_series | 0302-9743 |
| copyright | The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerl |
|Archiver|手機版|小黑屋|
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