Prostate Segmentation Using Multiparametric and Multiplanar Magnetic Resonance Images
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Publisher
Springer Nature Switzerland
Link
https://link.springer.com/content/pdf/10.1007/978-3-031-45673-2_22
Reference27 articles.
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2. Bardis, M.D., et al.: Applications of artificial intelligence to prostate multiparametric MRI (mpMRI): current and emerging trends. Cancers 12(5), 1204 (2020)
3. Bray, F., Ferlay, J., Soerjomataram, I., Siegel, R.L., Torre, L.A., Jemal, A.: Global cancer statistics 2018: GLOBOCAN estimates of incidence and mortality worldwide for 36 cancers in 185 countries. CA Can. J. Clin. 68(6), 394–424 (2018)
4. Clark, T., Wong, A., Haider, M.A., Khalvati, F.: Fully deep convolutional neural networks for segmentation of the prostate gland in diffusion-weighted MR images. In: International Conference on Image Analysis and Recognition (ICIAR), pp. 97–104 (2017)
5. Cuocolo, R., et al.: Machine learning applications in prostate cancer magnetic resonance imaging. Eur. Radiol. Exp. 3(1), 1–8 (2019)
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