Loading

A Detailed Research Method on Various Lung Cancer detection Methods
V Rohith1, Dennis Sabu2

1Rohith V, Department of Computer Science, Amrita School of Arts & Sciences, Amrita Vishwa Vidyapeetham, Mysuru, India.
2Dennis Sabu, Department of Computer Science, Amrita School of Arts & Sciences, Amrita Vishwa Vidyapeetham, Mysuru, India.

Manuscript received on 18 June 2019 | Revised Manuscript received on 25 June 2019 | Manuscript published on 30 June 2019 | PP: 1824-1827 | Volume-8 Issue-5, June 2019 | Retrieval Number: E7615068519/19©BEIESP
Open Access | Ethics and Policies | Cite | Mendeley | Indexing and Abstracting
© 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: Early diagnosis and detection of carcinomas can be identified using image processing techniques primarily in the case of lung carcinoma detection. Detection of these tumors in early stage is a herculean task. Computed Tomography (CT) scan images is classified into four stages – Image enhancement and Segmentation, Feature Extraction and Classification. The main objective of this paper is to explain about various methods used for lung carcinoma detection using CT scan images.
Keywords: Lung Cancer Detection

Scope of the Article: Biomedical Computing