Segmentation of Effective Cells in Multiple Myeloma Cancer Using Deformable Models and K-Means Clustering

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  • Additional Information
    • Publication Information:
      Vesnu Publications, 2017.
    • Publication Date:
      2017
    • Collection:
      LCC:Medicine
      LCC:Medicine (General)
    • Abstract:
      Background: Multiple myeloma is the second most common hematopoietic cancer. This disease is caused by the cancerous category of cells called plasma cells. Detecting and counting plasma cells provide valuable information for pathologists to diagnose this disease. The manual counting and considering of plasma cells are time consuming and due to the tedious nature of this process, it is subject to error. Thus, a computer-aided tool for pathologists to help in the diagnostic process can be very useful. For this purpose, this research presented a computer tool for segmentation of effective cells in multiple myeloma from microscopic images. Methods: In proposed method, after improving the quality of the images using histogram matching and median filter, the cells were extracted using the Chan-Vese deformable model. In addition, for splitting touching cells, the Modified Watershed algorithm was used. Then, the nuclei were extracted applying the k-means clustering method. Findings: The proposed method was evaluated on 30 microscopic images containing 370 cells. The calculated results of the proposed method showed that similarity measures, sensitivity, precision, accuracy and Dice Similarity Coefficient (DSC) respectively were 89.01%, 89.95%, 97.71%, 98.63%, and 93.86% for cell segmentation, and 91.43%, 92.48%, 96.13%, 98.53%, and 95.47% for nucleus segmentation. Conclusion: In this research, a novel method was presented for segmentation and extraction of effective cells in the diagnosis of multiple myeloma cancer from microscopic images using deformable models and clustering method. The evaluation results show that the proposed algorithm have improved segmentation performance compared to the previous methods.
    • File Description:
      electronic resource
    • ISSN:
      1027-7595
      1735-854X
    • Relation:
      http://jims.mui.ac.ir/index.php/jims/article/view/8831; https://doaj.org/toc/1027-7595; https://doaj.org/toc/1735-854X
    • Rights:
      Journal Licence: CC BY-NC
    • Accession Number:
      edsdoj.8ae83decbdb4b278af27f2c3be2a4ef
  • Citations
    • ABNT:
      HADIS GOLMOHAMMADI; ALIREZA VARD; ARDESHIR TALEBI. Segmentation of Effective Cells in Multiple Myeloma Cancer Using Deformable Models and K-Means Clustering. مجله دانشکده پزشکی اصفهان, [s. l.], n. 448, p. 1276, 2017. Disponível em: . Acesso em: 22 set. 2019.
    • AMA:
      Hadis Golmohammadi, Alireza Vard, Ardeshir Talebi. Segmentation of Effective Cells in Multiple Myeloma Cancer Using Deformable Models and K-Means Clustering. مجله دانشکده پزشکی اصفهان. 2017;(448):1276. http://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=edsdoj&AN=edsdoj.8ae83decbdb4b278af27f2c3be2a4ef&custid=s8280428. Accessed September 22, 2019.
    • APA:
      Hadis Golmohammadi, Alireza Vard, & Ardeshir Talebi. (2017). Segmentation of Effective Cells in Multiple Myeloma Cancer Using Deformable Models and K-Means Clustering. مجله دانشکده پزشکی اصفهان, (448), 1276. Retrieved from http://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=edsdoj&AN=edsdoj.8ae83decbdb4b278af27f2c3be2a4ef&custid=s8280428
    • Chicago/Turabian: Author-Date:
      Hadis Golmohammadi, Alireza Vard, and Ardeshir Talebi. 2017. “Segmentation of Effective Cells in Multiple Myeloma Cancer Using Deformable Models and K-Means Clustering.” مجله دانشکده پزشکی اصفهان, no. 448: 1276. http://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=edsdoj&AN=edsdoj.8ae83decbdb4b278af27f2c3be2a4ef&custid=s8280428.
    • Harvard:
      Hadis Golmohammadi, Alireza Vard and Ardeshir Talebi (2017) ‘Segmentation of Effective Cells in Multiple Myeloma Cancer Using Deformable Models and K-Means Clustering’, مجله دانشکده پزشکی اصفهان, (448), p. 1276. Available at: http://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=edsdoj&AN=edsdoj.8ae83decbdb4b278af27f2c3be2a4ef&custid=s8280428 (Accessed: 22 September 2019).
    • Harvard: Australian:
      Hadis Golmohammadi, Alireza Vard & Ardeshir Talebi 2017, ‘Segmentation of Effective Cells in Multiple Myeloma Cancer Using Deformable Models and K-Means Clustering’, مجله دانشکده پزشکی اصفهان, no. 448, p. 1276, viewed 22 September 2019, .
    • MLA:
      Hadis Golmohammadi, et al. “Segmentation of Effective Cells in Multiple Myeloma Cancer Using Deformable Models and K-Means Clustering.” مجله دانشکده پزشکی اصفهان, no. 448, 2017, p. 1276. EBSCOhost, search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=edsdoj&AN=edsdoj.8ae83decbdb4b278af27f2c3be2a4ef&custid=s8280428.
    • Chicago/Turabian: Humanities:
      Hadis Golmohammadi, Alireza Vard, and Ardeshir Talebi. “Segmentation of Effective Cells in Multiple Myeloma Cancer Using Deformable Models and K-Means Clustering.” مجله دانشکده پزشکی اصفهان, no. 448 (2017): 1276. http://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=edsdoj&AN=edsdoj.8ae83decbdb4b278af27f2c3be2a4ef&custid=s8280428.
    • Vancouver/ICMJE:
      Hadis Golmohammadi, Alireza Vard, Ardeshir Talebi. Segmentation of Effective Cells in Multiple Myeloma Cancer Using Deformable Models and K-Means Clustering. مجله دانشکده پزشکی اصفهان [Internet]. 2017 [cited 2019 Sep 22];(448):1276. Available from: http://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=edsdoj&AN=edsdoj.8ae83decbdb4b278af27f2c3be2a4ef&custid=s8280428