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SkullEngine: A Multi-Stage CNN Framework for Collaborative CBCT Image Segmentation and Landmark Detection.

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第一作者： Qin,Liu

第一单位： Department of Radiology and Biomedical Research Imaging Center (BRIC), University of North Carolina at Chapel Hill, NC, USA.

作者： Qin,Liu ^[1] ; Han,Deng ^[2] ; Chunfeng,Lian ^[1] ; Xiaoyang,Chen ^[1] ; Deqiang,Xiao ^[1] ; Lei,Ma ^[1] ; Xu,Chen ^[1] ; Tianshu,Kuang ^[2] ; Jaime,Gateno ^[2] ; Pew-Thian,Yap ^[1] ; James J,Xia ^[2]

作者单位： Department of Radiology and Biomedical Research Imaging Center (BRIC), University of North Carolina at Chapel Hill, NC, USA. ^[1] Department of Oral and Maxillofacial Surgery, Houston Methodist Hospital, TX, USA. ^[2]

关键词 Cone-Beam Computed Tomography (CBCT) Image Landmark Detection Segmentation

DOI 10.1007/978-3-030-87589-3_62

PMID 34964046

发布时间 2021-12-31

基金项目

R01 DE021863/DE/NIDCR NIH HHS/United States R01 DE022676/DE/NIDCR NIH HHS/United States R01 DE027251/DE/NIDCR NIH HHS/United States

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Machine learning in medical imaging. MLMI (Workshop)

2021年12966卷

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2021年12966卷

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SkullEngine: A Multi-Stage CNN Framework for Collaborative CBCT Image Segmentation and Landmark Detection.

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