Enhanced Lung Cancer Detection using Deep Learning Algorithm
Boddu Sekhar Babu1, Indusai Voleti2, Reshma Annapureddy3
1Reshma Annapureddy*, UG Student, Department of CSE, Koneru Lakshmaiah University(Deemed to be University), Vaddeswaram, Guntur, Andhra Pradesh, India.
2Boddu Sekhar Babu, ASSOC.PROF, Department of CSE, Koneru Lakshmaiah University (Deemed to be University), Vaddeswaram, Guntur, Andhra Pradesh, India.
3Indusai Voleti, UG student,Department of CSE, Koneru Lakshmaiah University(Deemed to be University), Vaddeswaram, Guntur, Andhra Pradesh, India.
Manuscript received on April 20, 2020. | Revised Manuscript received on April 01, 2020. | Manuscript published on May 10, 2020. | PP: 1016-1020 | Volume-9 Issue-7, May 2020. | Retrieval Number: G5178059720/2020©BEIESP | DOI: 10.35940/ijitee.G5178.059720
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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: Lung cancer is more dangerous than any other cancer. Nowadays many people are affecting lung cancer because of their lifestyle and environmental conditions. The basic cause of lung cancer is smoking. Many steps are taken to avoid smoking but on the other way the cancer is affecting the people. In this paper, the Enhanced Deep Learning (EDL) based algorithm is introduced to detects cancer in lungs in various patients based on their symptoms. It is very important to detect the cancer in the earliers stages. The proposed system calculates the three parameters such as sensitivity, specificity and accuracy. Results show the performance of the proposed system.
Keywords: Deep learning, Lung cancer, Sensitivity, specificity and accuracy.
Scope of the Article: Deep Learning