Fast segmentation of kidney components using random forests and ferns.

Journal: Medical physics
Published Date: Nov 7, 2017

Abstract

PURPOSE: This paper studies the feasibility of developing a fast and accurate automatic kidney component segmentation method. The proposed method segments the kidney into four components: renal cortex, renal column, renal medulla, and renal pelvis.

Authors

  • Chao Jin
    Department of General Surgery, Tangdu Hospital, The Fourth Military Medical University, Xi'an, China.
  • Fei Shi
    Medical Image Processing, Analysis, and Visualization (MIVAP) Lab, School of Electronics and Information Engineering, Soochow University, Suzhou, China.
  • Dehui Xiang
  • Lichun Zhang
    School of Electronic and Information Engineering, Soochow University, Suzhou, 215000, China.
  • Xinjian Chen
    Medical Image Processing, Analysis, and Visualization (MIVAP) Lab, School of Electronics and Information Engineering, Soochow University, Suzhou, China.

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