Date of Submission
Master of Science in Computer Science (MSCS)
Dr. Mohammed Aledhari
Dr. Chih-Cheng Hung
Dr. Hisham Haddad
Medical images are playing an increasingly important role in the prevention and diagnosis of diseases. Medical images often contain massive amounts of data. Professional interpretation usually requires a long time of professional study and experience accumulation by doctors. Therefore, the use of super storage and computing power in deep learning as a basis can effectively process a large amount of medical data. Breast cancer brings great harm to female patients, and early diagnosis is the most effective prevention and treatment method, so this project will create a new optimized breast cancer auxiliary diagnosis model based on ResNet. Analyze and process, realize medical aided diagnosis, and provide scientific diagnosis for breast cancer patients.
Li, Yihong, "Deep Learning for Identifying Breast Cancer" (2020). Master of Science in Computer Science Theses. 34.