Lung Cancer Classification using Deep Learnin...

ABSTRACT

The proposed tool is to recognize the lung cancer using an interdisciplinary approach in light of the photo getting ready and machine learning by Computer Aided Detection. For division Modified Fuzzy Possibilistic C Means is used where concerning de-noising the restorative pictures Gabor channel is used. After division incorporate extraction and assurance is done. This system is created using CNN estimation which recognize commitment as lung CT(Computed Tomography) pictures and perceives the dangerous cells sufficiently.

KEYWORDS: Computer Aided Detection, Lung CT scans, CNN, Deep Learning.