Fully Automated Segmentation of Lower Extremity Deep Vein Thrombosis Using Convolutional Neural Network.

Journal: BioMed research international
PMID: 31281832

Abstract

OBJECTIVE: Deep vein thrombosis (DVT) is a disease caused by abnormal blood clots in deep veins. Accurate segmentation of DVT is important to facilitate the diagnosis and treatment. In the current study, we proposed a fully automatic method of DVT delineation based on deep learning (DL) and contrast enhanced magnetic resonance imaging (CE-MRI) images.

Authors

  • Chen Huang
    Department of Pharmacy, The First Affiliated Hospital, Fujian Medical University, Fuzhou, China.
  • Junru Tian
    School of Biomedical Engineering, Health Science Center, Shenzhen University, Shenzhen, China.
  • Chenglang Yuan
    School of Biomedical Engineering, Health Science Center, Shenzhen University, Shenzhen, China.
  • Ping Zeng
    School of Biomedical Engineering, Health Science Center, Shenzhen University, Shenzhen, China.
  • Xueping He
    Department of Radiology, Guangzhou Panyu Central Hospital, Guangzhou, China.
  • Hanwei Chen
    Guangzhou Panyu Central Hospital, Guangzhou, China.
  • Yi Huang
    Department of Radiology, Guangzhou Panyu Central Hospital, Guangzhou, China.
  • Bingsheng Huang
    School of Biomedical Engineering, Shenzhen University Health Sciences Center, Shenzhen, Guangdong 518060, P.R.China.

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