Publisher
Springer Science and Business Media LLC
Subject
Health Information Management,Health Informatics,Information Systems,Medicine (miscellaneous)
Reference23 articles.
1. Christ P F, Ettlinger F, Felix Grün, et al. Automatic liver and tumor segmentation of CT and MRI volumes using cascaded fully convolutional neural networks[J]. 2017.
2. Raj, A., and Juluru, K., Visualization and segmentation of liver tumors using dynamic contrast MRI[J]. Conf Proc IEEE Eng Med Biol Soc 2009:6985–6989, 2009.
3. Marcan, M., Pavliha, D., Music, M. M. et al., Segmentation of hepatic vessels from MRI images for planning of electroporation-based treatments in the liver[J]. Radiol Oncol 48(3):267–281, 2014.
4. Raj, A., and Juluru, K., Visualization and segmentation of liver tumors using dynamic contrast MRI[C]// international conference of the IEEE engineering in Medicine & Biology Society. IEEE, 2009.
5. Goceri, E., Unlu, M. Z., Guzelis, C. et al., An automatic level set based liver segmentation from MRI data sets[C]// international conference on image processing theory. IEEE, 2013.
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