EJIOFOR, ANDRE KAMSIYOCHUKWU (2025) A TUMOR TRACKING AND MONITORING SYSTEM USING ARTIFICIAL INTELLIGENCE (AI). Other thesis, GODFREY OKOYE UNIVERSITY, ENUGU.
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Abstract
The integration of artificial intelligence (AI) in medical imaging has shown great promise in improving the accuracy and efficiency of tumor monitoring and management. This research focuses on the development of a tumor tracking and monitoring system utilizing AI to analyze magnetic resonance imaging (MRI) and computed tomography (CT) scans over time. By automatically assessing changes in tumor size, shape, and volume, the system enables medical professionals to monitor tumor growth, evaluate treatment efficacy, and predict potential disease progression. The study employs descriptive statistics to interpret trends and variations in tumor characteristics across imaging sessions, providing critical insights into patient responses to therapy. The findings demonstrate the AI system’s potential to assist clinicians in making timely and informed decisions, ultimately contributing to improved patient outcomes and personalized treatment strategies. This research highlights the significance of AI-based tumor tracking tools in advancing ontological care and supports further exploration into AI’s role in diagnostic imaging.
| Item Type: | Thesis (Other) |
|---|---|
| Subjects: | Q Science > QA Mathematics > QA75 Electronic computers. Computer science |
| Divisions: | Faculty of Natural and Applied Sciences |
| Depositing User: | Uchenna Eneogwe |
| Date Deposited: | 17 Jun 2026 13:24 |
| Last Modified: | 17 Jun 2026 13:24 |
| URI: | http://eprints.gouni.edu.ng/id/eprint/5822 |
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