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

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.

Authors and Affiliations

Nguyen Thanh Binh, Nguyen Mong Hien, Pham Bao Quoc, Vo Thi Hong Tuyet

Keywords

Related Articles

Querying Object-Oriented Databases Based on Signature Graph and n-ary Tree

In this paper, we suggest a new technique to create index helping for querying almost identical similarities with keywords in case there is no correct match found. It’s based on a signature graph and n-ary tree helping t...

8th EAI International Conference on Context-Aware Systems and Applications (ICCASA 2019) AND 5th EAI International Conference on Nature of Computation and Communication (ICTCC 2019)

The ICCASA and ICTCC 2019 conferences sponsored by EAI, Tien Giang University (TGU) and Nguyen Tat Thanh University (NTTU) are place for highly original ideas about how context-awareness and nature are going to shape net...

Assistance to assessing rating students by language tuple- 4 scale

In this paper, we introduce an assistance to assessing rating the annual learning and process training of students in the opinion of experts, the approach of hedge algebra. It is advisary to make optimally fuzzy paramete...

Design guidelines for rapid and simple context-aware mobile application development – an android case study

Presenting a context-aware service and information is a key aspect of ubiquitous computing, but development of such applications is quite complicated. Context-aware applications should be able to obtain raw data fromsens...

Products, Coproducts and Universal Properties of Autonomic Systems

Self-* is widely considered as a foundation for autonomic computing. The notion of autonomic systems (ASs) and self-serves as a basis on which to build our intuition about category of ASs in general. In this paper we wil...

Download PDF file
  • EP ID EP45809
  • DOI http://dx.doi.org/10.4108/eai.18-6-2018.156319
  • Views 273
  • Downloads 0

How To Cite

Nguyen Thanh Binh, Nguyen Mong Hien, Pham Bao Quoc, Vo Thi Hong Tuyet (2018). Pancreas Contour Detection Based On Shearlet Domain In Low Quality Medical Images. EAI Endorsed Transactions on Context-aware Systems and Applications, 5(15), -. https://europub.co.uk./articles/-A-45809