%0 Journal Article %1 noauthororeditor %A Soe, Hanni Htun | Moe Moe Htay | Sin Thi Yar Myint | Phyo Hay Mar Wai | Pyae Pyae %D 2019 %J International Journal of Trend in Scientific Research and Development %K (CAD) Artificial Intelligence Thyroid and benign cancer cancerous computer-aided detection diagnosis image malignant processing segmentation tissues %N 5 %P 1593-1597 %R https://doi.org/10.31142/ijtsrd26723 %T Thyroid Cancer Detection for Myanmar Review and Recommendation %U https://www.ijtsrd.com/computer-science/artificial-intelligence/26723/thyroid-cancer-detection-for-myanmar-review-and-recommendation/hanni-htun %V 3 %X Thyroid cancer is common cancer nowadays in most of the people irrespective of country gender and regions and so as in Myanmar. This paper brings significant work on thyroid cancer detection using image processing and segmentation methods so that appropriate work can be carried out for the benefit of people of Myanmar. The critical study of important papers gives challenges in existing work on cancer detection using several methods but there is not robust method for thyroid cancer detection. So we attempt to suggest a robust set of methods for addressing this problem for Myanmar since there is very limited work on detection of cancer in the country. Hanni Htun | Moe Moe Htay | Sin Thi Yar Myint | Phyo Hay Mar Wai | Pyae Pyae Soe "Thyroid Cancer Detection for Myanmar: Review and Recommendation" Published in International Journal of Trend in Scientific Research and Development (ijtsrd) ISSN: 2456-6470 Volume-3 | Issue-5 August 2019 URL: https://www.ijtsrd.com/papers/ijtsrd26723.pdfPaper URL: https://www.ijtsrd.com/computer-science/artificial-intelligence/26723/thyroid-cancer-detection-for-myanmar-review-and-recommendation/hanni-htun

@article{noauthororeditor, abstract = {Thyroid cancer is common cancer nowadays in most of the people irrespective of country gender and regions and so as in Myanmar. This paper brings significant work on thyroid cancer detection using image processing and segmentation methods so that appropriate work can be carried out for the benefit of people of Myanmar. The critical study of important papers gives challenges in existing work on cancer detection using several methods but there is not robust method for thyroid cancer detection. So we attempt to suggest a robust set of methods for addressing this problem for Myanmar since there is very limited work on detection of cancer in the country. Hanni Htun | Moe Moe Htay | Sin Thi Yar Myint | Phyo Hay Mar Wai | Pyae Pyae Soe "Thyroid Cancer Detection for Myanmar: Review and Recommendation" Published in International Journal of Trend in Scientific Research and Development (ijtsrd) ISSN: 2456-6470 Volume-3 | Issue-5 August 2019 URL: https://www.ijtsrd.com/papers/ijtsrd26723.pdfPaper URL: https://www.ijtsrd.com/computer-science/artificial-intelligence/26723/thyroid-cancer-detection-for-myanmar-review-and-recommendation/hanni-htun }, added-at = {2019-09-12T11:13:35.000+0200}, author = {Soe, Hanni Htun | Moe Moe Htay | Sin Thi Yar Myint | Phyo Hay Mar Wai | Pyae Pyae}, biburl = {https://www.bibsonomy.org/bibtex/2b121f73f40b6db2c45f5251ab84c3a40/ijtsrd}, doi = {https://doi.org/10.31142/ijtsrd26723}, interhash = {5b9d69366f089b89b7969446e6cbd15e}, intrahash = {b121f73f40b6db2c45f5251ab84c3a40}, issn = {2456-6470}, journal = {International Journal of Trend in Scientific Research and Development}, keywords = {(CAD) Artificial Intelligence Thyroid and benign cancer cancerous computer-aided detection diagnosis image malignant processing segmentation tissues}, language = {English}, month = aug, number = 5, pages = {1593-1597}, timestamp = {2019-09-12T11:13:35.000+0200}, title = {Thyroid Cancer Detection for Myanmar Review and Recommendation }, url = {https://www.ijtsrd.com/computer-science/artificial-intelligence/26723/thyroid-cancer-detection-for-myanmar-review-and-recommendation/hanni-htun}, volume = 3, year = 2019 }