Lung Cancer Detection of CT Lung Images
Retz Mahima Devarapalli1, Hemantha Kumar Kalluri2, Venkatesulu Dondeti3
1Retz Mahima Devarapalli1, Department of CSE, Vignan’s Foundation for Science, Technology & Research, Guntur (A.P), India.
2Hemantha Kumar Kalluri, Department of CSE, Vignan’s Foundation for Science, Technology & Research, Guntur (A.P), India.
3Venkatesulu Dondeti, Department of CSE, Vignan’s Foundation for Science, Technology & Research, Guntur (A.P), India.
Manuscript received on 14 February 2019 | Revised Manuscript received on 05 March 2019 | Manuscript Published on 08 June 2019 | PP: 413-416 | Volume-7 Issue-5S4, February 2019 | Retrieval Number: E10870275S419/19©BEIESP
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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC-BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: Cancer is one of the deadliest diseases leading to innumerable deaths worldwide. Early detection of lung cancer could increase the survival rate. To detect cancer various image processing techniques have been innovated and applied like median-wiener filter in the preprocessing stage. In the classification Back Propagation model, SVM (Support Vector Machines), Forward Neural Networks, Convolution Neural Networks are used to detect whether the nodule is cancerous or not. Although, there are many such techniques which are available these days but there is still need to further develop early detection to improve accuracy leading to better survival rate.
Keywords: Lung Cancer Detection, SVM Classifier, Image Processing.
Scope of the Article: Image Security