Project Details
Abstract
By employing deep learning techniques and collaborating with industry in Qatar (Hamad Medical Corporation), this research aims to enhance the quality of medical imaging. The aim would be to improve diagnostic accuracy and visualization quality in medical imaging applications, ultimately benefiting patient care in Qatar. The intellectual merit lies in its integration of cutting-edge technology to surpass traditional imaging methods, while its potential impact includes enhancing healthcare outcomes and advancing research culture among students in Qatar.
Submitting Institute Name
Hamad Bin Khalifa University (HBKU)
Sponsor's Award Number | UREP31-274-2-082 |
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Proposal ID | EX-QNRF-UREP-14 |
Status | Active |
Effective start/end date | 15/01/25 → 15/01/26 |
Primary Theme
- Artificial Intelligence
Primary Subtheme
- AI - Healthcare
Secondary Theme
- Artificial Intelligence
Secondary Subtheme
- AI - Healthcare
Keywords
- Deep Learning
- Medical Imaging
- Convolutional Neural Networks
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