International Journal of Engineering Research in Electronics and Communication Engineering(IJERECE)

Monthly Journal for Electronics and Communication Engineering

Volume5,March 2018,

Topic : Screening Lung Cancer in Ct Images Using Artificial Neural Network

Authors:N.Rabecca || S.Gayathri, M.Preethi monika,A.Milton Jesu Rajan

Abstract:Lung cancer is one of the most dangerous cancer types in the world. Early detection can save the life and increase the survivability of patients. In this project we obtain a solution for lung cancer symptom detection by applying Shape based image retrieval (SBIR). Our algorithm is broadly divided into three parts, at first part we accept the data set of cancer symptoms which is a generalized way for creating the patterns for Lung Cancer Framework, and in the second part we find the relevant data from the patterns using segmentation approach. We can choose the frequent symptoms only by using the threshold value. Based on the threshold value we decide whether it’s a cancer cell or non-cancer cell. We initialize the cancer cell value to support the pattern of cancer symptoms. It is updated in each trial. By updating the cancer cell value in each step we can check the symptom precision which either increases the accuracy or decreases it. Finally result analysis can prove by the appropriately using artificial neural network algorithm. .

Keywords: Dicom, SVM, ANN, k-NN, Accuracy, Sensitivity, Precision and Specificity.

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DOI: 01.1617/vol5/iss3/pid05876


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Editor-in-Chief

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Dr.Zhongfu Tan
National Professor,
North China Electric Power University,
CHINA


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IMPACT FACTOR: 3.689

ISSN(Online): 2394-6849

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Thomson Reuters ID : q-6288-2016.
ORCiD Research ID : 0000-0001-9540-6799

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