title,doi,url,abstract,journal,publication_year,pmid,arxiv
Classification of malignant and Benign Lung Using Probabilistic Neural Network, https://doi.org/10.32628/CSEIT195287, https://ijsrcseit.com/CSEIT195287, Lung Cancer is considered as one of the deadliest diseases among other lung disorders and cancer types and is the leading cause of cancer deaths worldwide. Lung cancer is a curable disease if detected in its early stages that makes up 13% of all cancer diagnoses and 27% of all cancer deaths. The objective of this paper is mainly focused on categorizing the patients Computed Tomography (CT) lung images as normal or abnormal. The images are subjected to segmentation to focus on detecting the cancerous region to classify. Effective feature selection and feature extraction is made by applying Watershed Transform and Principal Component Analysis. The emphasis is on the feature extraction stage to yield a better classification performance. The classification of CT images as benign or malignant is done using Machine Learning based Neural Network. , International Journal of Scientific Research in Computer Science Engineering and Information Technology, 2019, CSEIT195287