A Voting Ensemble Method to Assist the Diagnosis of Prostate Cancer Using Multiparametric MRI-Reference-Cited by-同舟云学术

A Voting Ensemble Method to Assist the Diagnosis of Prostate Cancer Using Multiparametric MRI

Published:2019-04-28 Issue: Volume: Page:294-303
ISSN:2194-5357
Container-title:Advances in Intelligent Systems and Computing
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Author:

Riley Patrick,Olier Ivan,Rea Marc,Lisboa Paulo,Ortega-Martorell Sandra

Publisher

Springer International Publishing

Link

http://link.springer.com/content/pdf/10.1007/978-3-030-19642-4_29

Reference9 articles.

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2. Litjens G, Debats O, Barentsz J, Karssemeijer N, Huisman H (2014) Computer-aided detection of prostate cancer in MRI. IEEE Trans Med Imaging 33:1083–1092. https://doi.org/10.1109/TMI.2014.2303821

3. Gallagher J Prostate cancer treatment “not always needed” - BBC News. https://www.bbc.co.uk/news/health-37362572

4. Liu S, Zheng H, Feng Y, Li W (2017) Prostate cancer diagnosis using deep learning with 3D multiparametric MRI. Presented at the 12 March 2017

5. Mehrtash A, Sedghi A, Ghafoorian M, Taghipour M, Tempany CM, Wells WM, Kapur T, Mousavi P, Abolmaesumi P, Fedorov A (2017) Classification of clinical significance of MRI prostate findings using 3D convolutional neural networks. In: Armato III SG, Petrick NA (eds.) SPIE medical imaging 2017, computer-aided diagnosis, Orlando

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