Now showing items 1-4 of 4
Computational framework for early detection of breast cancer
(Lincoln University, 2013)
Breast Cancer is the second leading cause of death after lung cancer in women all over the world whose lives could be saved by an early detection. This could be achieved by improving the diagnostic accuracy of the present ...
Ultrasound based computer aided diagnosis of breast cancer: evaluation of a new feature of mass central regularity degree
(Modelling and Simulation Society of Australia and New Zealand, 2011-12)
Breast cancer is the second leading cause of death after lung cancer in women all over the world. The survival rate of breast cancer patients depends on the stage of diagnosis; patients with stage 0 are more likely to ...
Validating a gene expression signature of invasive ductal carcinoma of the breast and detecting key genes using neural networks
(Modelling and Simulation Society of Australia and New Zealand and International Association for Mathematics and Computers in Simulation, 2009-07)
Breast cancer is one of the leading causes of death in women in the world. It is a complex disease with challenges to accurate diagnosis due to cancer subtypes that are difficult to distinguish. The most common subtype is ...
Gene expression based computer aided diagnostic system for breast cancer: a novel biological filter for biomarker detection
(Modelling and Simulation Society of Australia and New Zealand, 2013-12)
Cancer is a complex disease because it makes complex cellular changes. Therefore, microarrays have become a powerful way to analyse cancer and identify what changes are produced within a cell. Through DNA microarrays, it ...