A robust method for nuclei segmentation of HE stained histopathology images

Shyam Lal, Russel Desouza, M. Maneesh, Anirudh Kanfade, Aman Kumar, Gokul Perayil, Kumar Alabhya, Amit Kumar Chanchal, Jyoti Kini

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

Abstract

Segmentation of histopathology images is an initial and vital step for image understanding. To increase the throughput and to maintain high accuracy, we have to go for an automatic image segmentation method. Here, a robust method for segmentation of cell nuclei in Hematoxylin and Eosin (HE) stained histopathology images is proposed. The proposed segmentation step consists of an initial pre-processing step containing adaptive colour de-convolution and a succession of morphological operations, followed by multilevel thresholding and post-processing steps. Minimum region size is the one parameter which is necessary for this method and set according to the resolution of histopathology image. The proposed nuclei segmentation method does not require any assumptions or prior information about cell morphology. Hence, proposed method applies to the analysis of a wide range of tissues such as liver, kidney, breast, gastric mucosa, and bone marrow and HE stained liver histopathology images from the Hospital. Results yield that proposed nuclei segmentation provides better results in terms of quantitatively and qualitatively on two datasets.

Original languageEnglish
Title of host publication2020 7th International Conference on Signal Processing and Integrated Networks, SPIN 2020
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages453-458
Number of pages6
ISBN (Electronic)9781728154756
DOIs
Publication statusPublished - 02-2020
Event7th International Conference on Signal Processing and Integrated Networks, SPIN 2020 - Noida, India
Duration: 27-02-202028-02-2020

Publication series

Name2020 7th International Conference on Signal Processing and Integrated Networks, SPIN 2020

Conference

Conference7th International Conference on Signal Processing and Integrated Networks, SPIN 2020
CountryIndia
CityNoida
Period27-02-2028-02-20

All Science Journal Classification (ASJC) codes

  • Artificial Intelligence
  • Computer Networks and Communications
  • Signal Processing
  • Energy Engineering and Power Technology
  • Health Informatics
  • Instrumentation

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    Lal, S., Desouza, R., Maneesh, M., Kanfade, A., Kumar, A., Perayil, G., Alabhya, K., Chanchal, A. K., & Kini, J. (2020). A robust method for nuclei segmentation of HE stained histopathology images. In 2020 7th International Conference on Signal Processing and Integrated Networks, SPIN 2020 (pp. 453-458). [9070874] (2020 7th International Conference on Signal Processing and Integrated Networks, SPIN 2020). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/SPIN48934.2020.9070874