Computer aided lung cancer diagnoses with deep learning algorithms

Cancer is one of most deadliest diseases in the world right now, and if not diagnosed in early stages, it leads to death of the patients, which means diagnosis of cancer means life or death for precious human lives, one of the leading cancer types is lung cancer, and diagnosis of lung cancer solely depends on the education and experience of individual doctors and radiologists in current world. In order to overcome this limitation as it is directly related to the life of patient, a computerized lung cancer diagnosis algorithm is to be made which will have experience of hundreds of doctors and radiologists to refer from hence increasing the probability of better diagnosis and save countless lives. This project goes through past works done on this topic, tests numerous deep learning and hard crafted machine learning algorithms in order beat past highest accuracies and achieve the highest accuracy possible, the dataset used in this project is the LIDC dataset which is publically available for research purposes on the internet.