Integration of Deep Learning and Active Shape Models for More Accurate Prostate Segmentation in 3D MR Images
Magnetic resonance imaging (MRI) has a growing role in the clinical workup of prostate cancer. However, manual three-dimensional (3D) segmentation of the prostate is a laborious and time-consuming task. In this scenario, the use of automated algorithms for prostate segmentation allows us to bypass t...
محفوظ في:
| المؤلفون الرئيسيون: | , , , , , , , |
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| التنسيق: | Artigo |
| اللغة: | Inglês |
| منشور في: |
MDPI AG
2022-05-01
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| سلاسل: | Journal of Imaging |
| الموضوعات: | |
| الوصول للمادة أونلاين: | https://www.mdpi.com/2313-433X/8/5/133 |
| الوسوم: |
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