Muhammad ShahidFA18-RMT-043LHR TP 6023Dr. Ayesha Sohail2026-03-122020https://repository.cuilahore.edu.pk/handle/123456789/2716In the recent literature, artificial intelligence tools have been used very suc cessfully 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 clas sifier 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.enDr. Ayesha Sohailfa18Department of MathematicsMATHEMATICSMachine LearningMedical ImagingExplainable Machine Learning for Medical ImagingThesis