This collaboration is part of the scientific cooperation between Ninawa University and the Northern Technical University, under the direct supervision and support of Dr. Osama Al-Mashhadani, the President of Ninawa University Assistant Professor Dr. Ali Osman Mohamed, the Assistant Dean of the College of Information Technology for Scientific Affairs, led the committee in examining the Master’s student’s thesis in Technical Engineering titled “Detection of Melanoma Skin Cancer Using Support Vector Machine and Raspberry Pi 4.”
The thesis aimed to provide two consecutive diagnostic systems using Computer-Aided Diagnosis for the rapid detection of skin cancer, assisting dermatologists in determining whether a case requires a biopsy.
In the first system, image data was processed, including enhancing and extracting interesting features to describe and classify images of affected skin into melanoma or non-melanoma using MATLAB. In the second system, all techniques from the first system, including image processing and feature extraction, were transferred to Python. An SVM model was employed for training and predicting test data, and the system was designed on a Raspberry Pi 4 platform to create an independent system for diagnosing melanoma.
The thesis concluded with important findings, including the feasibility of manufacturing a device for rapidly diagnosing skin cancer.
At the end of the defense, the Dean of the Technical Engineering College, Dr. Majid Al-Kilaw, expressed deep gratitude for the scientific collaboration between Ninawa University and the Northern Technical University.
