Automated Segmentation of Lung Regions and Detection of Lung Cancer in CT scan
Sasidhar B1, Ramesh Babu D R2, Bhaskarao N3, Basheer Jan4
1Sasidhar B, Dept. of CSE, Dayananda Sagar College of Engineering, Bangalore, India.
2Ramesh Babu D R, Dept. of CSE, Dayananda Sagar College of Engineering, Bangalore, India.
3Bhaskarao N, Dept. of CSE, Dayananda Sagar College of Engineering, Bangalore, India.
4Basheer Jan, Dept. of CSE, Dayananda Sagar College of Engineering, Bangalore, India.
Manuscript received on March 02, 2013. | Revised Manuscript received on April 13, 2013. | Manuscript published on April 30, 2013. | PP: 757-758 | Volume-2, Issue-4, April 2013. | Retrieval Number: D1601042413/2013©BEIESP
Open Access | Ethics and Policies | Cite
© 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: Automated segmentation and detection of lung cancer is important to assist radiologist. In this paper, there are two steps involved: a. Automated Segmentation of lung regions b. Automated Detection of lung cancer. To speed up the process of detecting lung cancer, segmentation of lung region plays an important role.
Keywords: Lung Regions, Lung Cancer, Connected Components, Thresholding.