DFGR
Deep Feature Graph Representation for Predicting Knee Osteoarthritis
Install / Use
/learn @ddw2AIGROUP2CQUPT/DFGRREADME
DFGR
Deep Feature Graph Representation for Predicting Knee Osteoarthritis
Our model:
DataSet
Data used in this article were obtained from the Osteoarthritis Initiative (OAI) database, which is available for public access at http://www.oai.ucsf.edu/. datasets used are baseline knee images with 0.C.2 and 0.E.1.
OAI was divided into:
| | KLO | KL1 | KL2 | KL3 | KL4 | Total | |:-------------|-----:|:----:|:-----|-----:|:---:|:-----:| | Training set | 2759 | 1278 | 1900 | 992 | 236 | 7165 | | test set | 689 | 319 | 474 | 247 | 59 | 1788 | | Total | 3488 | 1597 | 2374 | 1239 | 295 | 8953 |
Performance
YOLOv7-tiny inference results with IoU:
The results for DFGR:
coming soon =_=
The results for Ensemble Model & Comparison with sota in OAI(end-to-end):
coming soon =_=
Credibility
Main issue with artificial intelligence models is not only accuracy but also the credibility of their decisions.
more
Comparison with doctors:
coming soon =_=
paper
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