A Two-stage Refinement Network for Nuclei Segmentation in Histopathology Images

Peiyi Jian*, Sei Ichiro Kamata

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

Histopathology images are used to assess the status of certain biological structures and to diagnose diseases such as cancer. In computer-assisted diagnosis (CAD), nuclear segmentation for histopathology images is an essential prerequisite. In recent years, deep-learning technology has been gaining popularity in the field of nuclei segmentation. However, nuclei segmentation is still faced with challenging a lot of difficulties due to (1) staining intensity inhomogeneity, (2) background noise caused by preprocessing, (3) blurred boundaries due to a large number of overlapping cells. Furthermore, in histopathology imaging, the number of data samples in the dataset is relatively low, preventing deep convolutional neural networks (CNNs) from segmenting nuclei images with high accuracy like in other vision applications. To overcome the above difficulties, we propose a two-stage deep learning network for nuclei segmentation tasks. It is the first stage network responsible for coarse segmentation, and the second stage network for refined segmentation. In comparison with traditional network architectures, our method achieves near SOTA performance in the nuclei segmentation task.

Original languageEnglish
Title of host publicationIVSP 2022 - 2022 4th International Conference on Image, Video and Signal Processing
PublisherAssociation for Computing Machinery
Pages8-13
Number of pages6
ISBN (Electronic)9781450387415
DOIs
Publication statusPublished - 2022 Mar 18
Event4th International Conference on Image, Video and Signal Processing, IVSP 2022 - Virtual, Online, Singapore
Duration: 2022 Mar 182022 Mar 20

Publication series

NameACM International Conference Proceeding Series

Conference

Conference4th International Conference on Image, Video and Signal Processing, IVSP 2022
Country/TerritorySingapore
CityVirtual, Online
Period22/3/1822/3/20

Keywords

  • a two-stage network
  • histopathology image
  • nuclei segmentation

ASJC Scopus subject areas

  • Human-Computer Interaction
  • Computer Networks and Communications
  • Computer Vision and Pattern Recognition
  • Software

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