Pancreas Contour Detection Based On Shearlet Domain In Low Quality Medical Images

Authors

  • Nguyen Thanh Binh Ho Chi Minh City University of Technology
  • Nguyen Mong Hien Ho Chi Minh City University of Technology
  • Pham Bao Quoc Ho Chi Minh City University of Technology
  • Vo Thi Hong Tuyet Ho Chi Minh City Open University

DOI:

https://doi.org/10.4108/eai.18-6-2018.156319

Keywords:

B-spline, shearlet transform, low quality image, pancreas detection

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.

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Published

10-12-2018

How to Cite

1.
Pancreas Contour Detection Based On Shearlet Domain In Low Quality Medical Images. EAI Endorsed Trans Context Aware Syst App [Internet]. 2018 Dec. 10 [cited 2025 Nov. 1];5(15):e2. Available from: https://publications.eai.eu/index.php/casa/article/view/1942

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