HIVE-Net: Centerline-aware hierarchical view-ensemble convolutional network for mitochondria segmentation in EM images.

Journal: Computer methods and programs in biomedicine
Published Date:

Abstract

BACKGROUND AND OBJECTIVE: With the advancement of electron microscopy (EM) imaging technology, neuroscientists can investigate the function of various intracellular organelles, e.g, mitochondria, at nano-scale. Semantic segmentation of electron microscopy (EM) is an essential step to efficiently obtain reliable morphological statistics. Despite the great success achieved using deep convolutional neural networks (CNNs), they still produce coarse segmentations with lots of discontinuities and false positives for mitochondria segmentation.

Authors

  • Zhimin Yuan
  • Xiaofen Ma
    Department of Medical ImagingGuangdong Second Provincial General Hospital Guangzhou 510000 China.
  • Jiajin Yi
    College of Computer Science and Technology, Huaqiao University, Xiamen 361021, China.
  • Zhengrong Luo
    College of Computer Science and Technology, Huaqiao University, Xiamen 361021, China.
  • Jialin Peng
    College of Computer Science and Technology, Huaqiao University, Xiamen, 361021, China.