MS-CMRSeg 2019
时间: 2023-09-08 10:11:04 浏览: 388
MS project 2019
MS-CMRSeg 2019是一个心脏磁共振图像分割挑战数据集。该数据集提供了三个CMR序列,包括LGE、BSSFP和T2图像。挑战的目标是对LGE CMR图像中的右心室(RV)、左心室(LV)和左心室心肌(MYO)进行分割。数据集共包含45个患者的CMR数据,其中有35个标记的T2 CMR数据,35个标记的BSSFP CMR数据和仅5个标记的LGE CMR数据。每个患者的CMR数据都包含多个切片。这个挑战的主要目的是根据LGE CMR数据进行心脏结构的分割,而标记数据的稀缺性增加了挑战的难度。为了增加带标签的LGE CMR数据的数量,研究人员使用了直方图匹配技术在其他带标签的模态数据上进行了数据扩充。\[1\]\[3\]
#### 引用[.reference_title]
- *1* [Unsupervised Domain Adaptation with Variational Approximation for Cardiac Segmentation](https://blog.csdn.net/odssodssey/article/details/123429366)[target="_blank" data-report-click={"spm":"1018.2226.3001.9630","extra":{"utm_source":"vip_chatgpt_common_search_pc_result","utm_medium":"distribute.pc_search_result.none-task-cask-2~all~insert_cask~default-1-null.142^v91^insertT0,239^v3^insert_chatgpt"}} ] [.reference_item]
- *2* [【图像分割】医学图像分割多目标分割(多分类)实践](https://blog.csdn.net/baidu_36511315/article/details/106106463)[target="_blank" data-report-click={"spm":"1018.2226.3001.9630","extra":{"utm_source":"vip_chatgpt_common_search_pc_result","utm_medium":"distribute.pc_search_result.none-task-cask-2~all~insert_cask~default-1-null.142^v91^insertT0,239^v3^insert_chatgpt"}} ] [.reference_item]
- *3* [【论文学习】An Automatic Cardiac Segmentation Framework based on Multi-sequence MR Image](https://blog.csdn.net/qq_35495464/article/details/111353471)[target="_blank" data-report-click={"spm":"1018.2226.3001.9630","extra":{"utm_source":"vip_chatgpt_common_search_pc_result","utm_medium":"distribute.pc_search_result.none-task-cask-2~all~insert_cask~default-1-null.142^v91^insertT0,239^v3^insert_chatgpt"}} ] [.reference_item]
[ .reference_list ]
阅读全文