Thesis (M.Sc.) - Cairo University - Faculty of Engineering - Department of Systems and Biomedical Engineering

Most of the previous studies focused on computer-assisted breast cancer diagnosis and the axillary lymph nodes were diagnosed by taking a sample and analyzing it or removing it and then analyzing it. There are some diseases that occur in breast cancer patients as a result of removing the axillary lymph nodes, such as swelling of the arms due to the accumulation of lymph fluid.So in this message we tried to do the following:Improving computer-assisted diagnostic methods for axillary lymph node diseases using ultrasound of the breast to distinguish between benign and malignant lymph nodes by different sets of image characteristics, studying some classification processes and different classifiers such as (support vector machine, logistic regression, linear support vector machine, nearest neighbor For the coefficient of K ) while classifying the axillary lymph nodes of the breast, improving the classification accuracy, sensitivity and specificity to detect the difference in the axillary lymph nodes of the breast, detecting and diagnosing differences in the axillary lymph nodes using safe and painless methods for breast cancer patients, diagnosing malignant lymphomas before the operation Surgery without taking a sample or using a thin needle, reducing the percentage of axillary lymph nodes removal in breast cancer patients

Issued also as CD