Early detection of breast cancer: reduction of missed cases

Funding: 2000: $66,000
2001: $53,000

Project Member(s): Nguyen, H.

Funding or Partner Organisation: Foundation for Australian Resources (Foundation for Australian Resources R & D Syndicat)
Australian Research Council (ARC SPIRT (Strategic Partnerships with Industry Re)
BreastScreen NSW (Breastscreen NSW Partner Funds)

Start year: 2000

Summary: From recent (1998) retrospective breast cancer studies, in approximately 48% of missed cases, a minimal sign was already visible on a prior mammogram. A collaboration of two breast screening services, one company and UTS will develop a computer-coordinated detection and diagnosis system (accessible via a Java-based secure Internet protocol) which aims to reduce missed cases of breast cancer. Research will be based on cutting-edge information technology such as spatial dendrograms (stealth-related technology), repartment hierarchical identification (successive information peeling), and neural network classification (with self-learning capability). If detected early, breast cancer can be treated with better patient outcomes and significantly lower costs.

Publications:

Hung, A, Nguyen, HT, Thornton, BS & Zinder, Y 2003, 'Dynamic Programming Approach to Image Segmentation and its Application to Pre-processing of Mammograms', Australian Journal of Intelligent Information Processing Systems, vol. 8, no. 2, pp. 51-56.

Mitchell, RA, Nguyen, HT, Thornton, BS, Hung, WT, Lee, W, Rickard, M & IEEE 1970, 'Faster image dendrogram creation: An efficient algorithm for the detection of tumours in digital mammography', PROCEEDINGS OF THE 25TH ANNUAL INTERNATIONAL CONFERENCE OF THE IEEE ENGINEERING IN MEDICINE AND BIOLOGY SOCIETY, VOLS 1-4, Annual International Conference of the IEEE Engineering in Medicine and Biology Society, IEEE, Cancun, Mexico, pp. 714-716.
View/Download from: Publisher's site

Nguyen, HT, Mitchell, RA, Thornton, BS, Hung, WT, Lee, W, Rickard, M, IEEE, IEEE & IEEE 1970, 'Detection of masses in digitised mammograms using dendronic image analysis', SECOND JOINT EMBS-BMES CONFERENCE 2002, VOLS 1-3, CONFERENCE PROCEEDINGS, 24th Annual International of the Engineering in Medicine and Biology Society, Institute of Electrical and Electronic Engineering, Houston, Texas, USA, pp. 1051-1052.

Thornton, BS, Nguyen, HT, Hung, A, Hirst, C, Thornton-Benko, E & Langtry, T 2001, 'Breast Screening Outcomes: Communications Problems, Chaos Relationship and Control Theory', Canadian Applied Mathematics Quarterly, vol. 9, no. 4, pp. 377-401.

Nguyen, HT, Hung, A, Thornton, BS, Lee, WB, Rickard, MT & Berry, M 1970, 'Detection of stellates and masses in digitised mammograms', Proceedings of 23th Annual International Conference, IEEE Engineering in Medicine and Biology Society, 23th Annual International Conference, IEEE Engineering in Medicine and Biology Society, IEEE, Istanbul, Turkey, pp. 0-0.

Keywords: Breast cancer, Mammography, Missed cancer, Interval cancer, Neural networks, Dendrograms

FOR Codes: Women’s health, Application tools and system utilities, Medical instrumentation, Pattern Recognition, Image Processing, Neural Networks, Genetic Alogrithms and Fuzzy Logic, Women's Health, Medical Instruments, Pattern Recognition and Data Mining, Neural, Evolutionary and Fuzzy Computation, Evolutionary computation, Information systems, technologies and services not elsewhere classified, Women's and maternal health

Acknowledgement of Country

UTS acknowledges the Gadigal people of the Eora Nation, the Boorooberongal people of the Dharug Nation, the Bidiagal people and the Gamaygal people, upon whose ancestral lands our university stands. We would also like to pay respect to the Elders both past and present, acknowledging them as the traditional custodians of knowledge for these lands.