Binh, Nguyen Thanh and Hien, Nguyen Mong and Quoc, Pham Bao and Tuyet, Vo Thi Hong (2018) Pancreas Contour Detection Based On Shearlet Domain In Low Quality Medical Images. EAI Endorsed Transactions on Context-aware Systems and Applications, 5 (15): e2. ISSN 2409-0026
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Abstract
Medical images are very useful in diagnosis and treatment. The low quality medical image will be difficult for the doctor to find abnormalities in the image. One of the difficulties for the doctor is how to clarify parts of the medical image, especially the pancreas. In this paper, we propose the new method for object contour detection based on context awareness in low quality medical images in shearlet domain. The object in medical images which detect contour here is pancreas object. The proposed method includes two periods: improving the medical image quality and detecting pancreas contour. To evaluate the results of the proposed method, we compared the result with the recent methods.
Item Type: | Article |
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Uncontrolled Keywords: | B-spline, shearlet transform, low quality image, pancreas detection |
Subjects: | Q Science > QA Mathematics > QA75 Electronic computers. Computer science QA75 Electronic computers. Computer science |
Depositing User: | EAI Editor II. |
Date Deposited: | 16 Sep 2020 08:26 |
Last Modified: | 16 Sep 2020 08:26 |
URI: | https://eprints.eudl.eu/id/eprint/300 |