Publisher
Springer Science and Business Media LLC
Subject
Health Informatics,Radiology, Nuclear Medicine and imaging,General Medicine,Surgery,Computer Graphics and Computer-Aided Design,Computer Science Applications,Computer Vision and Pattern Recognition,Biomedical Engineering
Reference31 articles.
1. Avants BB, Epstein CL, Grossman M, Gee JC (2008) Symmetric diffeomorphic image registration with cross-correlation: evaluating automated labeling of elderly and neurodegenerative brain. Med Image Anal 12(1):26–41
2. Ben-Cohen A, Diamant I, Klang E, Amitai M, Greenspan H (2016) Fully convolutional network for liver segmentation and lesions detection. In: Carneiro G et al (eds) Deep learning and data labeling for medical applications, vol 10008. Springer, Cham, pp 77–85.
https://doi.org/10.1007/978-3-319-46976-8
3. Christ PF, Ettlinger F, Grün F, Elshaera MEA, Lipkova J, Schlecht S, Ahmaddy F, Tatavarty S, Bickel M, Bilic P, Rempfler M, Hofmann F, Anastasi MD, Ahmadi SA, Kaissis G, Holch J, Sommer W, Braren R, Heinemann V, Menze B (2017) Automatic liver and tumor segmentation of CT and MRI volumes using cascaded fully convolutional neural networks, pp 1–20.
arXiv:1702.05970
4. Conze PH, Noblet V, Rousseau F, Heitz F, de Blasi V, Memeo R, Pessaux P (2017) Scale-adaptive supervoxel-based random forests for liver tumor segmentation in dynamic contrast-enhanced CT scans. Int J Comput Assist Radiol Surg 12(2):223–233.
https://doi.org/10.1007/s11548-016-1493-1
5. Erdt M, Steger S, Kirschner M, Wesarg S (2010) Fast automatic liver segmentation combining learned shape priors with observed shape deviation. In: Proceedings—IEEE symposium on computer-based medical systems, pp 249–254.
https://doi.org/10.1109/CBMS.2010.6042650
Cited by
39 articles.
订阅此论文施引文献
订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献