Cancer prognosis methodology for cervical cancer to be used by Peter MacCallum Cancer Institute

Author

Bevinakoppa, Savitri

Author_Institution

Dept. of Comput. Sci., R. Melbourne Inst. of Technol., Vic., Australia

fYear

2001

fDate

18-21 Nov. 2001

Firstpage

25

Lastpage

30

Abstract

This paper gives the design of techniques for the diagnosis and monitoring of cervical cancer at Peter MacCallum Cancer Institute (Melbourne). These techniques will require an advanced software platform to store and retrieve images from all hospital computers located at different locations. The research will investigate the efficient way of communication between all computers to exchange information using Local Area Network (LAN). Advanced algorithms for analysing stored images are required to help the detection of the degree of the spread of cancer with patients. This project aims at: designing and testing such techniques. The outcome of this research will be a software: system that will be used by doctors of Peter MacCallum Cancer Institute to improve the current cancer detection techniques.

Keywords

cancer; gynaecology; local area networks; medical diagnostic computing; medical image processing; medical information systems; patient diagnosis; visual databases; LAN; Local Area Network; Peter MacCallum Cancer Institute; advanced software platform; cancer detection techniques; cancer prognosis methodology; cervical cancer; stored images; Algorithm design and analysis; Cancer detection; Cervical cancer; Computer networks; Computerized monitoring; Hospitals; Image analysis; Image retrieval; Local area networks; Testing;

fLanguage

English

Publisher

ieee

Conference_Titel

Intelligent Information Systems Conference, The Seventh Australian and New Zealand 2001

Print_ISBN

1-74052-061-0

Type

conf

DOI

10.1109/ANZIIS.2001.974043

Filename

974043