An intelligent lung cancer diagnosis system using cuckoo search optimization and support vector machine classifier

作者: M. Prabukumar , L. Agilandeeswari , K. Ganesan

DOI: 10.1007/S12652-017-0655-5

关键词:

摘要: One of the leading causes of cancer death for both men and women is the lung cancer. The best way to improve the patient's chances for survival is the early detection of potentially …

参考文章(77)
Moualhi Wafa, Ezzeddine Zagrouba, IMPROVED FUZZY-C-MEANS FOR NOISY IMAGE SEGMENTATION international conference on signal processing and multimedia applications. pp. 74- 78 ,(2009)
M. Monica Subashini, Sarat Kumar Sahoo, Venika Sunil, Sudha Easwaran, A non-invasive methodology for the grade identification of astrocytoma using image processing and artificial intelligence techniques Expert Systems With Applications. ,vol. 43, pp. 186- 196 ,(2016) , 10.1016/J.ESWA.2015.08.036
Tamalika Chaira, Ajoy Kumar Ray, Fuzzy Image Processing and Applications with MATLAB ,(2009)
Vladimir Naumovich Vapnik, Estimation of Dependences Based on Empirical Data ,(2010)
Nello Cristianini, J Shawe-Taylor, An introduction to Support Vector Machines Cambridge University Press (2000). ,(2000)
D. Panchenko, V. Koltchinskii, Empirical margin distributions and bounding the generalization error of combined classifiers Annals of Statistics. ,vol. 30, pp. 1- 50 ,(2002) , 10.1214/AOS/1015362183
P. Thangaraj, M. Gomathi, A New Approach to Lung Image Segmentation using Fuzzy Possibilistic C-Means Algorithm arXiv: Computer Vision and Pattern Recognition. ,(2010)
Rahimeh Rouhi, Mehdi Jafari, Classification of benign and malignant breast tumors based on hybrid level set segmentation Expert Systems With Applications. ,vol. 46, pp. 45- 59 ,(2016) , 10.1016/J.ESWA.2015.10.011
Hassan Lemjabbar-Alaoui, Omer UI Hassan, Yi-Wei Yang, Petra Buchanan, Lung cancer: Biology and treatment options Biochimica et Biophysica Acta. ,vol. 1856, pp. 189- 210 ,(2015) , 10.1016/J.BBCAN.2015.08.002