The main objective of segmentation is to locate tumor and other abnormalities. The framework is a combination of image processing techniques to segment breast and fibro glandular tissue, to automatically compute breast density in breast MRI.
Breast MRI Image
Tumor Identification of the Segmented Image
#Bayesian, #network, #Support, #Vector, #Machine, # imputation, # Output, #survival, #Breast, #Tumour, #Segmentation, #main, #objective, #segmentation, #locate, #tumor, #other, #abnormalities, #framework, #combination, #image, #processing, #techniques, #segment, #breast, #fibro, #glandular, #tissue, #automatically, #compute, #breast, #density, #breast, #MRI,
[1]K. Jayasurya et al., "Comparison of Bayesian network and support vector machine models for two-year survival prediction in lung cancer patients treated with radiotherapy", Medical Physics, vol. 37, no. 4, pp. 1401-1407, 2010. Available: 10.1118/1.3352709. [2]C. Pucci, C. Martinelli and G. Ciofani, "Innovative approaches for cancer treatment: current perspectives and new challenges", ecancermedicalscience, vol. 13, 2019. Available: 10.3332/ecancer.2019.961. [3]H. Seada, M. Abouhawwash and K. Deb, "Multiphase Balance of Diversity and Convergence in Multiobjective Optimization", IEEE Transactions on Evolutionary Computation, vol. 23, no. 3, pp. 503-513, 2019. Available: 10.1109/tevc.2018.2871362.