• Farmina Akhter
• Neha Bathla

In today’s world cancer is most common disease that causes death and lung cancer is one of them. Lung cancer detection at early stages will increase the survival rate of the patient and also provide more option for treatment. In recent years if detection of cancer at early stages is done than the survival rate of patient is increased from 10 to 40%. The lung cancer is most common cause of death and dangerous disease, so faster method for detection required. The abnormal growth of cells present within the lungs can be detected using image processing technique. Image processing technique classifies the MRI images to distinguish the affected areas. In this paper a hybrid algorithm that utilizes watershed and genetic algorithm with machine learning to detect lung cancer. For classification the decision tree is used that will enhance the detection rate. It will also increase the linear accuracy and recognition rate.

lung cancer, watershed algorithm, genetic algorithm. Machine learning

"A hybrid MRI image processing method for lung cancer detection using Machine Learning", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.5, Issue 12, page no.653-657, December-2018, Available :http://www.jetir.org/papers/JETIR1812B82.pdf

"A hybrid MRI image processing method for lung cancer detection using Machine Learning", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.5, Issue 12, page no. pp653-657, December-2018, Available at : http://www.jetir.org/papers/JETIR1812B82.pdf