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

Author:

Liu Qin,Deng Han,Lian Chunfeng,Chen Xiaoyang,Xiao Deqiang,Ma Lei,Chen Xu,Kuang Tianshu,Gateno Jaime,Yap Pew-Thian,Xia James J.

Publisher

Springer International Publishing

Reference17 articles.

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3. Gupta, A., Kharbanda, O.P., Sardana, V., Balachandran, R., Sardana, H.K.: A knowledge-based algorithm for automatic detection of cephalometric landmarks on CBCT images. Int. J. Comput. Assist. Radiol. Surg. 10(11), 1737–1752 (2015). https://doi.org/10.1007/s11548-015-1173-6

4. Isensee, F., Petersen, J., Kohl, S.A.A., Jäger, P.F., Maier-Hein, K.H.: nnU-Net: breaking the spell on successful medical image segmentation. arXiv preprint arXiv:1904.08128 (2019)

5. Kirillov, A., Wu, Y., He, K., Girshick, R.: PointRend: image segmentation as rendering. arXiv preprint arXiv:2012.08193v2 (2020)

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