Abstract
In this study is about an algorithm and application program which processes the images of liquefied cells for the tissue diagnosis on uterine cervical cancer of women. And, cellular domain extraction through which automatic processing of cytological diagnosis process is enabled was performed and it was established depending on the size of cell nucleus based on cytological diagnosis standard of uterine cervical cancer cell. Obtained cell image was processed by using matlab. And we used a total of 10 samples of cervix cells to calculate the area of nucleus used for diagnosis. Based on the result, we obtained outcomes of the test as normal 6 cases; Atypical Squamous Cell of Undetermined Significance (ASCUS) 2 cases; Mild dysplasia (LSIL) 1 cases; and Severe dysplasia (HSIL) 1 cases. And successful in the implementation of diagnostic programs of cervical cancer. With such outcomes, we believe that early diagnosis of uterine cervical cancer would become easier in the future.
| Original language | English |
|---|---|
| Title of host publication | 4th International Conference on Innovative Computing Technology, INTECH 2014 and 3rd International Conference on Future Generation Communication Technologies, FGCT 2014 |
| Publisher | Institute of Electrical and Electronics Engineers Inc. |
| Pages | 37-40 |
| Number of pages | 4 |
| ISBN (Electronic) | 9781479942336 |
| DOIs | |
| State | Published - 2014.10.16 |
| Event | 4th International Conference on Innovative Computing Technology, INTECH 2014 and 3rd International Conference on Future Generation Communication Technologies, FGCT 2014 - Luton, United Kingdom Duration: 2014.08.13 → 2014.08.15 |
Publication series
| Name | 4th International Conference on Innovative Computing Technology, INTECH 2014 and 3rd International Conference on Future Generation Communication Technologies, FGCT 2014 |
|---|
Conference
| Conference | 4th International Conference on Innovative Computing Technology, INTECH 2014 and 3rd International Conference on Future Generation Communication Technologies, FGCT 2014 |
|---|---|
| Country/Territory | United Kingdom |
| City | Luton |
| Period | 14.08.13 → 14.08.15 |
UN SDGs
This output contributes to the following UN Sustainable Development Goals (SDGs)
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SDG 3 Good Health and Well-being
Keywords
- Cell Diagnosis
- Diagnosis program
- Matching Algorithm
- Uterine Cervix Cell
Quacquarelli Symonds(QS) Subject Topics
- Business & Management Studies
- Computer Science & Information Systems
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