fidoptTorchXRayVision PSPNet
TorchXRayVision's chest radiograph anatomy model, a PSPNet whose training images were not released: 14 structures, lungs and heart among them, from a frontal radiograph, run as the authors' segmentation notebook runs it.
SegmentationCPUversion torchxrayvision 1.5.5, weights pspnet_chestxray_best_model_4.pth (sha256 019b167e)XRApache-2.0
Run it
With its KonfAI app, at the benchmark's settings (the fidopt app repositories are private for now: a Hugging Face token with access opens them):
pip install konfai-apps konfai-apps infer fideus-labs/fidopt-segmentation:TXV_PSPNet -i image.nii.gz -o out
The app on Hugging Face: its model, its settings and how it is scored.
Results
| Dataset | # | Read by | Score | Failed | Time s |
|---|---|---|---|---|---|
| Montgomery County chest X-rays, lungs and heart | 1 | Dice | 0.814 | 0 | 13 |
- Reference
- Cohen et al., MIDL 2022; Lian et al., IEEE TMI 2021 (ChestX-Det)