Eye Disease Net: an algorithmic model for rapid diagnosis of diseases
Fangyuan Liu, Bo Qin, Fengqi Jiang · 2023
Read Eye Disease Net: an algorithmic model for rapid diagnosis of diseases by Fangyuan Liu, Bo Qin, Fengqi Jiang (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-10773917.txt.
Description
Fangyuan Liu, Bo Qin, and Fengqi Jiang put forward a model, ED-Net, to sort eye diseases from images at speed, in 2023. Eye ills are a top drag on life grade as care and tech grow. Their net weds two home-built parts, one in the ResNet line and one in the Xception line. Each part was reshaped for the eye task before the two were joined.
The team set the joined net against a wide field. Foes held the classic sorters, the newer sight-transformer sorters, and nets made just for eye ills. Each foe was run on the same task so the reads could be fairly set side by side. The work makes its case at the level of build and match-ups. A fast, true sorter could move eye checks out of scarce clinics and into first-line care.
Catalog record
| CREATOR | Fangyuan Liu, Bo Qin, Fengqi Jiang |
|---|---|
| YEAR | 2023 |
| COLLECTION | PAPERS |
| FORMAT | TXT |
| FILE SIZE | 20 KB |
| VERSION | 1.0 |
| LICENSE | CC BY 4.0 |
| RIGHTS | CC BY |
| SOURCE | Europe PMC |