Bethlehem University proudly highlights the recent contribution of Dr. Rawan Gedeon, Assistant Professor in the Faculty of Applied Sciences, Technology, and Engineering, who co-authored a significant research paper titled “Colon cancer survival prediction from gland shapes within histology slides using deep learning” published in the Journal of Integrative Bioinformatics.
The paper, co-authored with Professor Atulya Nagar from Liverpool Hope University in the UK, explores the use of advanced deep learning models to predict colon cancer survival outcomes based on gland morphology in histological images.
They trained two AI models, called U-Net and DCAN, using public datasets of cancer images to improve how well the models work across different types of tissue samples. In the end, DCAN performed better at outlining gland shapes clearly and was used in the final analysis.
By looking at the shape and size of glands in these images, the researchers were able to find patterns linked to how long patients survived. They used these patterns in a statistical model that could separate patients into high-risk and low-risk groups. The model’s predictions were proven to be reliable, showing a significant difference in survival rates between the two groups.
This research shows the powerful role that AI can play in supporting cancer diagnosis and treatment planning in the future.
Bethlehem University congratulates Dr. Gedeon for this impactful work, reinforcing the University’s commitment to research that addresses global health challenges.
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