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Publication
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| Research Title |
Application for Cell Segmentation and Counting Using
Watershed Transforms |
| Date of Distribution |
30 June 2016 |
| Conference |
| Title of the Conference |
Osaka 5th International Conference on “Engineering & Technology, Computer, Basic & Applied Sciences” (ECBA- 2016) June 29-30, 2016 Osaka Japan |
| Organiser |
Academic fora |
| Conference Place |
Osaka International Convention Center |
| Province/State |
Osaka |
| Conference Date |
29 June 2016 |
| To |
30 June 2016 |
| Proceeding Paper |
| Volume |
214 |
| Issue |
5 |
| Page |
30 |
| Editors/edition/publisher |
Medical, Medicine and Health Sciences (MMHS-2016) |
| Abstract |
Cancer is one of the deadliest diseases for humankind, and the
research community has been extensively active to find prevention and cure
for the disease. The migration-invasion assay is one of the in vitro methods
which is used to evaluate the spreading potential of cancer cells from
primary site of tumor to other organs. The experiment involves the process
of counting the spreading cancer cell to determine the ability of movement
and the researchers usually count the cells under microscope manually or
taking photos then count using software as an assisting tool. The application
was evaluated using sample cancer cell images of Cholangiocarcinoma cells
while moving through outer layer of protein outside cell by cell culture and
drug. The results were compared to the numbers counted with three
experienced researchers. The application has three modes, namely, semiautomatic
dot, Semi-automatic and Automatic based on Watershed
transform. The fully automatic mode is based on the algorithm in Cancer
Cell Segmentation and Counting using Watershed Transforms (Namwong et
al., 2015) whose accuracy is 97.01%. The semi-automatic based on
Watershed allows the researchers to input essential parameters using their
experience and the accuracy was improved to 99.99%. In addition, the semiautomatic
dot mode is based on the algorithm in fully automated detection
of the counting area in blood smears for computer aided hematology (Rupp
et al., 2011) whose accuracy has also been improved from the automatic
mode. Finally, in all three modes, the researchers were able to greatly
reducing the time used in cell counting when compared to manual counting. |
| Author |
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| Peer Review Status |
มีผู้ประเมินอิสระ |
| Level of Conference |
นานาชาติ |
| Type of Proceeding |
Full paper |
| Type of Presentation |
Oral |
| Part of thesis |
true |
| Presentation awarding |
false |
| Attach file |
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| Citation |
0
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Journal Publication
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