Morphology-Guided Prostate MRI Segmentation with Multi-slice Association
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Publisher
Springer International Publishing
Link
https://link.springer.com/content/pdf/10.1007/978-3-030-87589-3_52
Reference20 articles.
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3. Hoeks, C.M., et al.: Transition zone prostate cancer: detection and localization with 3-T multiparametric MR imaging. Radiology 266(1), 207–217 (2013)
4. Toth, R., et al.: Accurate prostate volume estimation using multifeature active shape models on T2-weighted MRI. Acad. Radiol. 18(6), 745–754 (2011)
5. Zhu, Q., Du, B., Turkbey, B., Choyke, P.L., Yan, P.: Deeply-supervised CNN for prostate segmentation. In: International Joint Conference on Neural Networks (IJCNN), pp. 178–184. IEEE (2017)
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