Auto Segmentation of Lymph Node Microscopy Images

Authors

  • Mariaulpa Sahalan Universiti Teknologi Malaysia
  • Aidil Munir Mazlee Universiti Teknologi Malaysia
  • Farah Nabila Mustafa Amirrudin Universiti Teknologi Malaysia
  • Nurafiqah Syazwani Mohd Jamil Universiti Teknologi Malaysia
  • Rahwani Nasir Universiti Teknologi Malaysia
  • Nusrah Athirah Suhaimi Universiti Teknologi Malaysia
  • Jareer Murtaza Amin Universiti Teknologi Malaysia
  • Ahmad Naqib Mohd Qari Universiti Teknologi Malaysia

DOI:

https://doi.org/10.11113/jmeditec.v1n1.17

Keywords:

Cellularity, Lymph Node, Cancer, Image analysis, Nuclei Detection

Abstract

The manual histology assessment on the biopsy tissue sample still remains the gold standard procedure for cancer  and its progression in human body. Auto nuclei segmentation is an important method to measure cellularity but often suffered an issue due to the  present of overlapping nuclei. The implementation of auto segmentation of cells could speed up the process of histology assessment for cancer cases. The first step to implement, a wide data profile of normal and cancerous need to be compile and analyze further as a reference guide. Tissue data profile can be collected based on cellularity property of the tissue which can be automatically segmented using MATLAB software. The objective of the study is to develop an auto nuclei segmentation using MATLAB software to measure cellularity between normal and cancerous cells of lymph node tissue. Histological images of the tissue were analyzed using MATLAB software by using thresholding method and the result was compared with ImageJ. The pre-processing part of the image processing incudes converting the image into 8-bit grayscale image. The segmentation parts include adaptive filtering to remove the noise using Wiener filter and the thresholding Otsu method. Results from the ImajeJ and manual counting on the cellularity shows a comparable results to the automated cellularity measured using MATLAB. The cellularity of the cancerous lymph nodes was found lower than normal lymph nodes.

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Published

08-10-2022

How to Cite

Sahalan, M., Aidil Munir Mazlee, Farah Nabila Mustafa Amirrudin, Nurafiqah Syazwani Mohd Jamil, Rahwani Nasir, Nusrah Athirah Suhaimi, … Ahmad Naqib Mohd Qari. (2022). Auto Segmentation of Lymph Node Microscopy Images. Journal of Medical Device Technology, 1(1), 50–55. https://doi.org/10.11113/jmeditec.v1n1.17

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