An automatic nuclei segmentation method based on deep convolutional neural networks for histopathology images.

Journal: BMC biomedical engineering
Published Date:

Abstract

BACKGROUND: Since nuclei segmentation in histopathology images can provide key information for identifying the presence or stage of a disease, the images need to be assessed carefully. However, color variation in histopathology images, and various structures of nuclei are two major obstacles in accurately segmenting and analyzing histopathology images. Several machine learning methods heavily rely on hand-crafted features which have limitations due to manual thresholding.

Authors

  • Hwejin Jung
    Department of Computer Science and Engineering, Korea University, Seoul, Republic of Korea.
  • Bilal Lodhi
    Department of Computer Science and Engineering, Korea University, Seoul, Republic of Korea.
  • Jaewoo Kang
    Department of Computer Science and Engineering, Korea University, Seoul, Republic of Korea.

Keywords

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