Effective Lung Cancer Cell Detection using Deep Convolutional Neural Networks
Journal Title: International Journal of engineering Research and Applications - Year 2018, Vol 8, Issue 9
Abstract
With oncologists relying increasingly on low-dose CT scans to detect lung cancer, our study proposes a machine learning approach for early detection of Lung Cancer. While existing algorithms in the medical imaging domain focus on segmentation and diagnosis through traditional image processing techniques, we approach the problem by using Deep Learning technique called Convolutional Neural Networks. Using Google Cloud Engine for Machine Learning for training data overcomes the problems encountered while handling large scale data. The traditional methods take a lot of time before the doctor can finally tell the patient the result which in certain cases proves to be fatal. Our approach aims to provide the result of the tests at a much faster speed, thereby bringing up the survival rate of those that have lung cancer and decrease the mortality rate of Lung Cancer related deaths.
Authors and Affiliations
Swapnil Nivendkar, Shreyas Satardekar, Shreyank Prabhu
Keywords
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- EP ID EP395190
- DOI 10.9790/9622-0809051015.
- Views 138
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