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Titlebook: Computational Methods and Clinical Applications for Spine Imaging; 6th International Wo Yunliang Cai,Liansheng Wang,Shuo Li Conference proc

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書目名稱Computational Methods and Clinical Applications for Spine Imaging
副標(biāo)題6th International Wo
編輯Yunliang Cai,Liansheng Wang,Shuo Li
視頻videohttp://file.papertrans.cn/233/232691/232691.mp4
叢書名稱Lecture Notes in Computer Science
圖書封面Titlebook: Computational Methods and Clinical Applications for Spine Imaging; 6th International Wo Yunliang Cai,Liansheng Wang,Shuo Li Conference proc
描述This book constitutes the proceedings of the 7th International Workshop and Challenge on Computational Methods and Clinical Applications for Spine Imaging, CSI 2019, which was held in conjunction with MICCAI on October 17, 2019, in Shenzhen, China.?All submissions were accepted for publication; the book contains 5 peer-reviewed regular papers, covering topics of vertrebra detection, spine segmentation and image-based diagnosis, and 9 challenge papers, investigating (semi-)automatic spinal curvature estimation algorithms and providing a standard evaluation framework with a set of x-ray images.?.
出版日期Conference proceedings 2020
關(guān)鍵詞artificial intelligence; bioinformatics; computer networks; computer vision; detection algorithm; educati
版次1
doihttps://doi.org/10.1007/978-3-030-39752-4
isbn_softcover978-3-030-39751-7
isbn_ebook978-3-030-39752-4Series ISSN 0302-9743 Series E-ISSN 1611-3349
issn_series 0302-9743
copyrightSpringer Nature Switzerland AG 2020
The information of publication is updating

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Sturm-Liouville Theory and its Applicationsal compromise. Quantitative measures from vertebral body segmentations from Computed Tomography (CT) scans have been useful for assessing fracture risk predictions and vertebrae stability. Previous segmentation methods used to generate these metrics were slow and required manual intervention, limiti
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