Lung Cancer Detection Using Artificial Neural Network & Fuzzy Clustering
Abstract: To evaluate the performance of Computer Aided Diagnosis (CAD) for Lung Cancer using artificial neural intelligence on CT scan images. Lung Cancer can be summarized by evaluating region of interest using maximum entropy and supervised learning. Lung cancer seems to be the common cause of death among people throughout the world. Early detection of lung cancer seems to be the only factor which can increase the chance of survival among people.
Keywords: ANN, CAD, GLCM, NSCLC, SCLC, SE
How to Cite:
[1] Masaood A. Hussain, Tabassum M. Ansari, Prarthana S. Gawas, Nabanita Nath Chowdhury, “Lung Cancer Detection Using Artificial Neural Network & Fuzzy Clustering,” International Journal of Advanced Research in Computer and Communication Engineering (IJARCCE), DOI: 10.17148/IJARCCE.2015.4386
