期刊名称：International Journal of Innovative Research in Computer and Communication Engineering
印刷版ISSN：2320-9798
电子版ISSN：2320-9801
出版年度：2018
卷号：6
期号：3
页码：1917
DOI：10.15680/IJIRCCE.2017.0603025
出版社：S&S Publications
摘要：The main objective of this project is to assist clinicians to efficiently identify the Lung Cancer viaforecasting analysis by using Morphological Neural Network (MNN) Classification with Image Pruning Methodology.In image processing domain, the complex task to analyze and rectify is cancer estimation and prediction. Compare totumor estimations, Cancer estimations are more complex because these are purely cell based paradigms and visuallynot clear to analyze; especially this system focus on Lung cancer and its strategies. A new methodology is required toclassify these kind of cancer cells, Morphological Neural Network Classifier with Image Pruning Scheme is introducedto efficiently classify the cancer cells and mark out the affected region more efficiently. Lung cancer is one of prevalentdiseases in human, and can be diagnosed using several tests that include CT scans, MRI Scans, biopsy and so on. Overthe years, the use of learning machine and artificial intelligence techniques has transformed the process of diagnosinglung cancer. However, the accurate classification of cancer cells is still a medical challenge faced by researchers.Difficulties are routinely encountered in the search for sets of features that provide adequate distinctiveness required forclassifying breast tissues into groups of normal and abnormal. Therefore, the aim of this approach is to prove that theMNN algorithm is more efficient for diagnosis, prognosis and prediction of lung abnormality, which is basicallyderived from two classical algorithms called Morphological Image Processing and Artificial Neural Network (ANN)with Image Pruning.
关键词：Lung Cancer Prediction; Morphological neural Network; Artificial Neural Network; ANN.
