/Polyp-Segmentation-ISBI2023

Primary LanguagePython

Polyp-Segmentation-ISBI2023

Code will be released if the paper is accepted by ISBI2023.

Model parameters VS inference speed

result

Experiments

Quantitative results on learning ability.

result

Quantitative results on generalization ability.

result

Quantitative results of different methods on multiply-add operations (MACs), model parameters (Params), and Speed (FPS).

result

Note: we eval the speed in a PC with GeForce 1080Ti, the code for eval speed can be found in here .

Prediction Result

The prediction result is place at here. Everyone can compared it with other methods.

Visualization

result

Thanks to the repo

  • PraNet
  • UACANet (especially, python version evaluation toolbox.)