Project Description

Lung cancer is one of the most dangerous and life taking diseases in the world. However, early diagnosis and treatment can save life. Although CT scan imaging is the best imaging technique in the medical field, it is difficult for doctors to interpret and identify the cancer from CT scan Images. Computer aided diagnosis can be helpful for doctors to identify the cancerous cells accurately.In this project,the method used was that lung cancer detection techniques were sorted and listed on the basis of their detection accuracy. The techniques were analysed on each step and overall limitation, drawbacks were pointed out. It is found that some have low accuracy and some have higher accuracy but not nearer to 100%. Therefore, our research targets to increase the accuracy towards 100%.The project aims is to detect lung cancer cells using deep learning, machine learning algorithms to detect lung cancer.