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Nuclei and Nucleoli Segmentation and Analysis

Albukhnefis, Adil Lateef Mahmood
http://rave.ohiolink.edu/etdc/view?acc_num=kent1461260282

Abstract Details

2016, MS, Kent State University, College of Arts and Sciences / Department of Computer Science.
In biomedical imaging, segmentation and analysis play an important diagnostic role. Nuclei and nucleoli segmentation and classification have a significant impact on the cancer and tumor diagnostics in biological and medical research studies. Typically, segmentation is difficult in microscopic images because of object shapes and clustering in many samples. In this work we introduce a method that combines simplicity and efficiency. The proposed method utilizes ImageJ framework to automatically segment and classify nuclei and nucleoli after applying some preprocessing techniques to improve the image quality and remove noise. The required preprocessing steps differ based on the kind of segmentation required. Both 2D and 3D segmentation are achieved for the nuclei and nucleoli. The analysis approach provides statistics about volume, area, surface and other properties of the segmented nuclei and nucleoli. The classification process then groups the segmented nuclei and nucleoli based on the previous criteria. Finally, the visualization process shows the results of the proposed method overlaid on the original data set. The proposed method provides a very efficient system for nuclei and nucleoli segmentation and achieves about 98 % accuracy. Furthermore, the plugin is extremely fast when compared to manual segmentation especially with large data sets.
cheng chang Lu (Advisor)
Robert Clements (Committee Member)
Austin Melton (Committee Member)
40 p.
Bioinformatics; Biomedical Research
Bio medical imaging , Segmentation , Analysis ,Bioinformatics , image processing

Recommended Citations

Citations

  • Albukhnefis, A. L. M. (2016). Nuclei and Nucleoli Segmentation and Analysis [Master's thesis, Kent State University]. OhioLINK Electronic Theses and Dissertations Center. http://rave.ohiolink.edu/etdc/view?acc_num=kent1461260282

    APA Style (7th edition)

  • Albukhnefis, Adil. Nuclei and Nucleoli Segmentation and Analysis. 2016. Kent State University, Master's thesis. OhioLINK Electronic Theses and Dissertations Center, http://rave.ohiolink.edu/etdc/view?acc_num=kent1461260282.

    MLA Style (8th edition)

  • Albukhnefis, Adil. "Nuclei and Nucleoli Segmentation and Analysis." Master's thesis, Kent State University, 2016. http://rave.ohiolink.edu/etdc/view?acc_num=kent1461260282

    Chicago Manual of Style (17th edition)

kent1461260282
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© 2016, all rights reserved.
This open access ETD is published by Kent State University and OhioLINK.