Abstract:
In the recent literature, artificial intelligence tools have been used very successfully to investigate the history of medical images, where incomplete data is
available. In this thesis, data obtained from a clinical study is analyzed using
medical imaging algorithms. We have used a Bayesian machine learning classifier i.e. Naïve Bayes to obtain the results. We have considered the medical
images from 20 patients having gastric cancer. Futhermore, we have compared
the accuracy of Naïve Bayes classifier to the other medical imaging techniques
such as CNN.