PyConvU-Net: a lightweight and multiscale network for biomedical image segmentation.

Journal: BMC bioinformatics
Published Date: Jan 7, 2021

Abstract

BACKGROUND: With the development of deep learning (DL), more and more methods based on deep learning are proposed and achieve state-of-the-art performance in biomedical image segmentation. However, these methods are usually complex and require the support of powerful computing resources. According to the actual situation, it is impractical that we use huge computing resources in clinical situations. Thus, it is significant to develop accurate DL based biomedical image segmentation methods which depend on resources-constraint computing.

Authors

  • Changyong Li
    School of Computer Science and Information Security, Guilin University of Electronic Technology, Guilin, 541004, China.
  • Yongxian Fan
    School of Computer Science and Information Security, Guilin University of Electronic Technology, Guilin, 541004, China. xiany@guet.edu.cn.
  • Xiaodong Cai
    School of Computer Science and Information Security, Guilin University of Electronic Technology, Guilin, 541004, China.

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