This paper is published in Volume-4, Issue-6, 2018
Area
Computer Science
Author
Preeti Bala, Astha Mahajan
Org/Univ
Swami Sarvanand Group of Institutes, Dina Nagar, Punjab, India
Keywords
Support Vector Machines, Feature extraction, Principle Component Analysis
Citations
IEEE
Preeti Bala, Astha Mahajan. A robust learning approach for lung cancer detections in medical applications, International Journal of Advance Research, Ideas and Innovations in Technology, www.IJARIIT.com.
APA
Preeti Bala, Astha Mahajan (2018). A robust learning approach for lung cancer detections in medical applications. International Journal of Advance Research, Ideas and Innovations in Technology, 4(6) www.IJARIIT.com.
MLA
Preeti Bala, Astha Mahajan. "A robust learning approach for lung cancer detections in medical applications." International Journal of Advance Research, Ideas and Innovations in Technology 4.6 (2018). www.IJARIIT.com.
Preeti Bala, Astha Mahajan. A robust learning approach for lung cancer detections in medical applications, International Journal of Advance Research, Ideas and Innovations in Technology, www.IJARIIT.com.
APA
Preeti Bala, Astha Mahajan (2018). A robust learning approach for lung cancer detections in medical applications. International Journal of Advance Research, Ideas and Innovations in Technology, 4(6) www.IJARIIT.com.
MLA
Preeti Bala, Astha Mahajan. "A robust learning approach for lung cancer detections in medical applications." International Journal of Advance Research, Ideas and Innovations in Technology 4.6 (2018). www.IJARIIT.com.
Abstract
Lung cancer deals with the disease categorized by uncontrolled development of cell in lung tissues. If left unprocessed, this development can spread outside the lungs, straight, into other shares of the human body. Operation, radiation treatment, and scanning are used in the treatment of lung cancer.This paper deals with the efficient approach to detect automatic lung cancer at early or advance stages to notice the malignant nodes at earliest as healthy as suggest developments so the doctors can be able to take corrective accomplishment to guard the patients after cancer at maximum initial stages.
