Authors: Priyadarshini Velusamy; Porkumaran Karantharaj; S. Prabakar
Addresses: Biomedical Engineering Dept., Dr NGP Institute of Technology, Coimbatore, Tamil Nadu, India ' EEE Dept., Dr NGP Institute of Technology, Coimbatore, Tamil Nadu, India ' Biomedical Engineering Dept., Dr NGP Institute of Technology, Coimbatore, Tamil Nadu, India
Abstract: The ant colony optimisation (ACO) is an optimisation technique which first proposed ant-based metaheuristic developed by Marco Dorigo. The stimulating source of ant colony optimisation is a searching behaviour of real ant colonies. The proposed hybrid method consists of an enhanced ACO algorithm Discrete Wavelet Transform (DWT) Principle component analysis (PCA) and TNM (The size of the breast tumour (T), nearby lymph nodes (N), Metastasised (M)) system for detecting the edges of the tumour, feature extraction, feature reduction and tumour staging. For the early detection of breast cancer and staging the proposed analysis has been done with two different image modalities which is mammogram images and PET images.
Keywords: ant colony optimisation; discrete wavelet transform; principle component analysis; TNM staging; mammogram images; PET images.
International Journal of Biomedical Engineering and Technology, 2018 Vol.27 No.1/2, pp.86 - 99
Available online: 02 Jul 2018 *Full-text access for editors Access for subscribers Purchase this article Comment on this article