Article
Automatic Segmentation of Prostate Magnetic Resonance Imaging Using Generative Adversarial Networks
2020-01-07
Abstract excerpt
<title>Abstract</title> <p>Background: Automatic and detailed segmentation of the prostate using magnetic resonance imaging (MRI) plays an essential role in prostate imaging diagnosis. However, the complexity of the prostate gland hampers accurate segmentation from other tissues. Thus, we propose the automatic prostate segmentation method SegDGAN, which is based on a classic generative adversarial network (GAN) m...
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Identifiers and source
- Literature Corpus work
- 13ab01c8-f4ff-5c3d-8e1f-768737b6b7e3
- DOI
- 10.21203/rs.2.12243/v2
