Conditional Generative Adversarial Networks with Multi-scale Discriminators for Prostate MRI Segmentation

Author:

He Jun,Li Xinke,Liu Ninghui,Zhan Shu

Publisher

Springer Science and Business Media LLC

Subject

Artificial Intelligence,Computer Networks and Communications,General Neuroscience,Software

Reference32 articles.

1. Kirschner M, Jung F, Wesarg S (2012) Automatic prostate segmentation in MR images with a probabilistic active shape model. In: PROMISE12—MICCAI 2012 Grand Challenge on Prostate MR Image Segmentation. Springer

2. Toth R, Madabhushi A (2012) Multifeature landmark-free active appearance models: application to prostate MRI segmentation. IEEE Trans Med Imaging 31(8):1638–1650

3. Arambula CF, Marquez F, Padilla C (2010) Use of simplex search in active shape models for improved boundary segmentation. Pattern Recognit Lett 31(9):806–817

4. Liu X, Langer DL, Haider MA, Van KT, Evans AJ, Wernick MN, Yetik IS (2009) Unsupervised segmentation of the prostate using MR images based on level set with a shape prior. In: Engineering in Medicine and Biology Society, pp 3613–3616

5. Yang X, Zhan S, Xie D, Zhao H, Kuriharac T (2016) Hierarchical prostate MRI segmentation via level set clustering with shape prior. Neurocomputing 257(9):154–163

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