College of Computer Science and Mathematics

Discussion of the master’s thesis in the College of Computer Science and Mathematics – Software Department entitled:

Diagnosis of soft tissue tumors using machine learning techniques

In continuation of the scientific research movement and with the follow-up and presence of the Dean of the College of Computer Science and Mathematics

Respected Professor Dr. Duha Bashir Abdullah

It was discussed in the discussion hall at the College of Computer Science and Mathematics/Cyberspace at the University of Mosul on Monday 3/4/2024.

Master’s thesis by student Noor Yahya Ghanim Shaker Al-Taee and supervised by Assist.Prof. Dr. Jamal Salahaldeen Majeed Alneamy

The study dealt with the design of 13 hybrid smart models to make accurate decisions in diagnosing the type of tumors, based on the latest artificial intelligence techniques, namely machine learning (ML), deep learning (DL) and swarm algorithms) and hybridization between them to reach The highest accuracy in diagnosis, and the histopathology images were adopted for pathological cases (breast tumors, lung tumors, and colon tumors), which were obtained from the global website Kaggle, amounting to 32,783 histological images, and the smart models produced seven categories, which include all the tumor cases mentioned above. (Benign, Malignant and squamous) The highest accuracy in diagnosis was reached (99.92%) for the DenseNet201-SVM-Whale hybrid model. Graphics Processing Unit (GPU) technology was used to reduce training time and this system is an assistant system for pathologists in diagnosing tumors.

The discussion committee consists of

Prof. Dr. Fawziya Mahmood Ramo- Chairman

Prof. Dr. Safwan Omar Hasoon – Member

Assis. Prof. Hanan Hamid Ali – Member

Assist.Prof. Dr. Jamal Salahaldeen Majeed Alneamy – Member and supervisor