dSPIC: a deep SPECT image classification network for automated multi-disease, multi-lesion diagnosis.

Journal: BMC medical imaging
Published Date: Aug 11, 2021

Abstract

BACKGROUND: Functional imaging especially the SPECT bone scintigraphy has been accepted as the effective clinical tool for diagnosis, treatment, evaluation, and prevention of various diseases including metastasis. However, SPECT imaging is brightly characterized by poor resolution, low signal-to-noise ratio, as well as the high sensitivity and low specificity because of the visually similar characteristics of lesions between diseases on imaging findings.

Authors

  • Qiang Lin
    College of Sciences, Zhejiang University of Technology, China.
  • Chuangui Cao
    School of Mathematics and Computer Science, Northwest Minzu University, No. 1, Xibei Xincun Rd., Lanzhou, 730030, Gansu, China.
  • Tongtong Li
  • Zhengxing Man
    School of Mathematics and Computer Science, Northwest Minzu University, No. 1, Xibei Xincun Rd., Lanzhou, 730030, Gansu, China.
  • Yongchun Cao
    School of Mathematics and Computer Science, Northwest Minzu University, No. 1, Xibei Xincun Rd., Lanzhou, 730030, Gansu, China.
  • Haijun Wang
    Department of Intensive Care Unit, National Cancer Center/National Clinical Research Center, Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China.

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