the candidate researcher Ruqaia Ahmed Abas Sharafaldeen obtained the Master degree in Computer Science with an Excellent average of 95%, Major: Computer Science from Faculty of Computer and Information Technology

Today, Saturday Rabii-Awal 4^th, 1446H, September 7^th, 2024, the candidate researcher/ Ruqaia Ahmed Abas Sharafaldeen obtained the Master degree in Computer Science with an Excellent average of 95%, Major: Computer Science from Faculty of Computer and Information Technology, Sanaa University, for her Master thesis entitled: An Improvement Mitosis Detection in Breast Cancer Histopathology Images by Using Yolov5. The discussing committee was formed of: Professor Dr. Mossa GHURAB, Principle Supervisor and Committee Examiner, Professor Dr. Fuad Hasan Mohammed ABDEL-RAZAQ, External Examiner (University of Damar) and Committee Head, and Professor Dr. Ahmed Abdallah Saleh AL-SHALABY, Internal Examiner (Sanaa university). The thesis aims at improving the YOLOv5 model’s resolution for revealing the division cells of histopathology images belonging to breast cancer patients.

The study comes out with some results, of which there exists a significant resolution display for the model YOLO v5 at 96% comparing to 92% for the Faster R-CNN. The study compared other models such as: Li et al., 2018, Dodballapur et al.2019, Saha et al., 2018, Mahmood et al., 2020, Sohail, Khan, Nisar et al., 2021, as comparison shows that YOLO v5 is more competent in performance and time, as well as in terms of computing resources that allows using it effectively at clinical practices.

Attendees of the discussion session were a number of academics, researchers, interested students of the major, the researcher’s colleagues and some of family members.