SEGMENTATION OF EFFECTIVE CELLS IN MULTIPLE MYELOMA CANCER USING DEFORMABLE MODELS AND K-MEANS CLUSTERING

Q: How can I download an article?

To download an article from SID, first log in to the site, search for the article title, and click on the 'Download Article' option.

Q: How can I download an ISI article?

To download an ISI article on SID, enter the keyword or article title in the search bar, view the relevant results, click on the desired article, and select the 'Download Article' option.

Q: How can I access the SID database?

To access the SID database, visit SID.ir, create an account, and log in to access scientific resources.

Q: Is downloading articles from SID free?

Some articles on SID are available for free, while others require payment. Details are specified on the article's page.

GOLMOHAMMADI HADIS; VARD ALIREZA; TALEBI ARDESHIR

مرکز اطلاعات علمی Scientific Information Database (SID) - Trusted Source for Research and Academic Resources

Journal Paper

Paper Information

Journal: JOURNAL OF ISFAHAN MEDICAL SCHOOL (I.U.M.S) Year:2017 | Volume:35 | Issue:448 Page(s): 1276-1282

Download Full-Text

Persian Verion

View:

2,245

Download:

Cites:

Information Journal Paper

Title

SEGMENTATION OF EFFECTIVE CELLS IN MULTIPLE MYELOMA CANCER USING DEFORMABLE MODELS AND K-MEANS CLUSTERING

Author(s)

GOLMOHAMMADI HADIS | VARD ALIREZA | TALEBI ARDESHIR | Issue Writer Certificate

Keywords

MULTIPLE MYELOMAQ2

PLASMA CELLSQ2

IMAGE PROCESSINGQ1

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.

Cites

No record.

References

No record.

Cite

APA: Copy

GOLMOHAMMADI, HADIS, VARD, ALIREZA, & TALEBI, ARDESHIR. (2017). SEGMENTATION OF EFFECTIVE CELLS IN MULTIPLE MYELOMA CANCER USING DEFORMABLE MODELS AND K-MEANS CLUSTERING. JOURNAL OF ISFAHAN MEDICAL SCHOOL (I.U.M.S), 35(448 ), 1276-1282. SID. https://sid.ir/paper/49887/en

Vancouver: Copy

GOLMOHAMMADI HADIS, VARD ALIREZA, TALEBI ARDESHIR. SEGMENTATION OF EFFECTIVE CELLS IN MULTIPLE MYELOMA CANCER USING DEFORMABLE MODELS AND K-MEANS CLUSTERING. JOURNAL OF ISFAHAN MEDICAL SCHOOL (I.U.M.S)[Internet]. 2017;35(448 ):1276-1282. Available from: https://sid.ir/paper/49887/en

IEEE: Copy

HADIS GOLMOHAMMADI, ALIREZA VARD, and ARDESHIR TALEBI, “SEGMENTATION OF EFFECTIVE CELLS IN MULTIPLE MYELOMA CANCER USING DEFORMABLE MODELS AND K-MEANS CLUSTERING,” JOURNAL OF ISFAHAN MEDICAL SCHOOL (I.U.M.S), vol. 35, no. 448 , pp. 1276–1282, 2017, [Online]. Available: https://sid.ir/paper/49887/en

Related Journal Papers