An Improved Microaneurysm Detection Model Based on SwinIR and YOLOv8
Bowei Zhang, Jing Li, Yun Bai, Qing Jiang, Biao Yan, Zhenhua Wang · 2023
Read An Improved Microaneurysm Detection Model Based on SwinIR and YOLOv8 by Bowei Zhang, Jing Li, Yun Bai, Qing Jiang, Biao Yan, Zhenhua Wang (2023) in the Tower of Babel, a free online library of public-domain works preserved in clean, searchable text. No sign-up. The full text is served as a plain-text file at a predictable URL, where text is present: https://antarctic-labs.com/tower-of-babel/pmc-10740408.txt.
Description
Bowei Zhang, Jing Li, Yun Bai, Qing Jiang, Biao Yan, and Zhenhua Wang built a detector for early eye damage from diabetes in this 2023 paper. The targets are microaneurysms, tiny bulges in retinal blood vessels that rank among the first signs of diabetic retinopathy. Spotting them early and reliably aids diagnosis.
Their model, MA-YOLO, works on fluorescein angiography images of the retina. First, a super-resolution network rebuilds fine detail in the scans. Then a tweaked YOLOv8 detector, with an extra detection layer for tiny features, hunts the bulges. Training moved between high- and low-resolution images to harden the model. The design also softens penalties tied to box geometry, which can swamp learning when targets are this small and unevenly spread.
Catalog record
| CREATOR | Bowei Zhang, Jing Li, Yun Bai, Qing Jiang, Biao Yan, Zhenhua Wang |
|---|---|
| YEAR | 2023 |
| COLLECTION | PAPERS |
| FORMAT | TXT |
| FILE SIZE | 30 KB |
| VERSION | 1.0 |
| LICENSE | CC BY 4.0 |
| RIGHTS | CC BY |
| SOURCE | Europe PMC |