Enhancement Technique for Early Stage Lung Cancer Detection Using Foldscope Methodology

Due to ever increasing population and growth in pollution there has been considerable increase in the cancer-causing agents due to this there is a need to detect cancer at its early stages so that it becomes easier to cure it. The precautions to be taken to cure or prevent cancer or other tumor is that cause death very less or completely negligible this is why there is a need to create a system that can suggest the early stages of cancer and the precautions that will be taken in order to prevent this cancer from growing more. Cancer as it is cannot be cured hundred percent when it is in the moderate stages and above as there are very few treatments for undertaking or curing cancer completely. We have undertaken the job of detecting lung cancer as it is the major cause for death in Cancer diseases. Lung cancer when it is in the initial stages is very accurate and is very difficult to detect and it spreads rapidly and the chances to stop this growth are very less or completely negligible so to avoid this, we have decided to create a system that can detect lung cancer at its early stages. Lung cancer comes in stages and to cure this we need to understand each and every stage precisely the lung cancer has around Four stages. After looking at the stages of cancer we can clearly see that the first stage is very important in the recovery process and for cancer treatment. So, if we detect the cancer at its early stages it becomes easier for us to cure it and the patient suffers very less due to this cancer. In some cases, the microscopic examination of this cancer shows wrong results as the cancer is very less and cannot be easily detected even at microscopic level. If we record such occurrences it becomes easier for us to detect for the next time and the chances of error reduces. Here comes the role of Technology and our system. As we are using machine learning for the development of a system which is Computer aided design for early lung cancer detection it becomes easier to train the machine for intangible occurrences of results which cannot be neglected as life of each and every patient is precious. Our system is completely based on the data analysis of multiple cases of cancer where lung cancer differs from first stage to last stage. By considering the occurrences of results we can analyze and design the pattern for this disease and can easily predict whether the underlying patient being monitored is suffering from cancer. We are using machine learning based on Python programming language as it becomes easier to monitor data as well as the detection process of cancer. Python makes it easier to use machine learning and we can train the system for the future. Python has multiple directories which we can use for our project and which makes our project very simple and accurate as we are going to take the data set which includes arrays of data.