A multi-stage semi-supervised learning approach to spine image segmentation

A multi-stage semi-supervised learning approach to spine image segmentation

Spine segmentation in computed tomography (CT) images is critical for automatic analysis, especially when focusing on varied spinal regions. Despite having comprehensive annotations for normal vertebrae, the current dataset does not encompass fracture data, posing challenges for predictive modeli...

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書目詳細資料
主要作者:	Pan, Ruixiang
其他作者:	Lin Zhiping
格式:	Thesis-Master by Coursework
語言:	English
出版:	Nanyang Technological University 2024
主題:	Engineering Spine segmentation Unet Semi-supervised learning Fracture 2.5D Multi-stage
在線閱讀:	https://hdl.handle.net/10356/174682
標簽:	添加標簽沒有標簽, 成為第一個標記此記錄!

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