Research Article
Pancreas Contour Detection Based On Shearlet Domain In Low Quality Medical Images
@ARTICLE{10.4108/eai.18-6-2018.156319, author={Nguyen Thanh Binh and Nguyen Mong Hien and Pham Bao Quoc and Vo Thi Hong Tuyet}, title={Pancreas Contour Detection Based On Shearlet Domain In Low Quality Medical Images}, journal={EAI Endorsed Transactions on Context-aware Systems and Applications}, volume={5}, number={15}, publisher={EAI}, journal_a={CASA}, year={2018}, month={12}, keywords={B-spline, shearlet transform, low quality image, pancreas detection}, doi={10.4108/eai.18-6-2018.156319} }- Nguyen Thanh Binh
Nguyen Mong Hien
Pham Bao Quoc
Vo Thi Hong Tuyet
Year: 2018
Pancreas Contour Detection Based On Shearlet Domain In Low Quality Medical Images
CASA
EAI
DOI: 10.4108/eai.18-6-2018.156319
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.
Copyright © 2019 Nguyen Thanh Binh et al., licensed to EAI. This is an open access article distributed under the terms of the Creative Commons Attribution licence (http://creativecommons.org/licenses/by/3.0/), which permits unlimited use, distribution and reproduction in any medium so long as the original work is properly cited.
