SissiExpression: Towards intuitive visualization and interactive analysis of medical domain knowledge

Hui An; Meiling Chen; Qingfeng Tang; Zhigeng Pan

doi:10.1117/12.2557487

3 January 2020 SissiExpression: Towards intuitive visualization and interactive analysis of medical domain knowledge

Hui An, Meiling Chen, Qingfeng Tang, Zhigeng Pan

Proceedings Volume 11373, Eleventh International Conference on Graphics and Image Processing (ICGIP 2019); 113732G (2020) https://doi.org/10.1117/12.2557487
Event: Eleventh International Conference on Graphics and Image Processing, 2019, Hangzhou, China

Abstract

This paper explores the methods and applications of intuitive visualization and interactive analysis of medical domain knowledge to help medical experts editing it autonomously. SissiExpression system is developed using C# and WPF technology, in which, medical knowledge is modeled as expression. The application of knowledge and execution process is clear and visible, the work of debugging and maintenance is convenient, so the result can be understood and gain recognition by experts. Expressions and knowledge are saved in XML file format, decoupled from program framework, subsequent maintenance, adding new knowledge and functions, can be achieved agilely, conveniently, with better cost control. Appropriate knowledge edition can be chosen flexibly according to demand, medical experts can possess their personal executable knowledge base. This program can help medical experts to mitigate human-computer interaction obstacles to some extent, both medical and information experts can focus on their own profession and tasks.

Citation Download Citation

Hui An, Meiling Chen, Qingfeng Tang, and Zhigeng Pan "SissiExpression: Towards intuitive visualization and interactive analysis of medical domain knowledge", Proc. SPIE 11373, Eleventh International Conference on Graphics and Image Processing (ICGIP 2019), 113732G (3 January 2020); https://doi.org/10.1117/12.2557487

ACCESS THE FULL ARTICLE

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE

Includes PDF, HTML & Video, when available