Pancreas Contour Detection Based On Shearlet Domain In Low Quality Medical Images
DOI:
https://doi.org/10.4108/eai.18-6-2018.156319Keywords:
B-spline, shearlet transform, low quality image, pancreas detectionAbstract
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.
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Copyright (c) 2022 EAI Endorsed Transactions on Context-aware Systems and Applications
This work is licensed under a Creative Commons Attribution 3.0 Unported License.
This is an open-access article distributed under the terms of the Creative Commons Attribution CC BY 3.0 license, which permits unlimited use, distribution, and reproduction in any medium so long as the original work is properly cited.
Funding data
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Trường Đại học Kinh tế - Luật, Đại học Quốc gia Thành phố Hồ Chí Minh
Grant numbers C2017-20- 20