Region-Aware Segmentation-Oriented Super-Resolution (RA-SOSR)
Investigates super-resolution-assisted segmentation methods for medical MRI and CT images. Rather than treating super-resolution as a pure image-quality step, the work studies how region-aware super-resolution, which focuses on foreground and boundary regions, relates to downstream segmentation accuracy.
M.Sc. thesis at Hacettepe University, advised by Assoc. Prof. Aydın Kaya.
- Python
- PyTorch
- Deep Learning
- Medical Image Segmentation
- Computer Vision






