A combined learning algorithm for prostate segmentation on 3D CT images.

Journal: Medical physics
Published Date: Sep 22, 2017

Abstract

PURPOSE: Segmentation of the prostate on CT images has many applications in the diagnosis and treatment of prostate cancer. Because of the low soft-tissue contrast on CT images, prostate segmentation is a challenging task. A learning-based segmentation method is proposed for the prostate on three-dimensional (3D) CT images.

Authors

  • Ling Ma
    Department of Radiology and Imaging Sciences, Emory University School of Medicine, Atlanta, GA, USA.
  • Rongrong Guo
    School of Nursing, Capital Medical University, Beijing, China.
  • Guoyi Zhang
    Department of Radiology and Imaging Sciences, Emory University School of Medicine, Atlanta, GA, USA.
  • David M Schuster
    Department of Radiology and Imaging Sciences, Emory University School of Medicine, Atlanta, GA, USA.
  • Baowei Fei

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