An automated two-stage approach to kidney and tumor segmentation in CT imaging.

Journal: Technology and health care : official journal of the European Society for Engineering and Medicine
PMID: 38875055

Abstract

BACKGROUND: The incidence of kidney tumors is progressively increasing each year. The precision of segmentation for kidney tumors is crucial for diagnosis and treatment.

Authors

  • Ni Yao
  • Hang Hu
    Department of Chemistry, Purdue University, 560 Oval Drive, West Lafayette, IN, 47907, USA.
  • Chuang Han
    School of Electrical Engineering, Zhengzhou University, NO. 100 Kexue Road, Zhengzhou, Henan 450000, China.
  • Jiaofen Nan
    School of Computer and Communication Engineering, Zhengzhou University of Light Industry, Zhengzhou, Henan, China.
  • Yanting Li
    School of Computer and Communication Engineering, Zhengzhou University of Light Industry, Zhengzhou, 450001, China.
  • Fubao Zhu
    School of Computer and Communication Engineering, Zhengzhou University of Light Industry, Zhengzhou, Henan, China.

Keywords

External Resources

Popular Topics
Recent Journals