Title :
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
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;
Conference_Titel :
Intelligent Information Systems Conference, The Seventh Australian and New Zealand 2001
Print_ISBN :
1-74052-061-0
DOI :
10.1109/ANZIIS.2001.974043
