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Update UseCase2 documentation #7

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6 changes: 3 additions & 3 deletions case2-finetuning/README.md
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Expand Up @@ -23,9 +23,9 @@ TODO: describe training in zerocost (@esgomezm)
Integration with the multicut workflow enables cell segmentation based on the boundary predictions and allows to correct errors in the network prediction (that happen because of application to a different data modality) to be fixed by training an edge classifier.
See the screenshots below for prediction and multicut results in ilastik.

<img src="images/ilastik-prediction.png" alt="drawing" width="800"/>
<img src="images/ilastik-mc.png" alt="drawing" width="800"/>
<img src="images/ilastik-mc2.png" alt="drawing" width="800"/>
<img src="https://github.com/bioimage-io/use-cases/blob/main/case2-finetuning/images/ilastik-prediction.png" alt="screenshot" width="800"/>
<img src="https://github.com/bioimage-io/use-cases/blob/main/case2-finetuning/images/ilastik-mc.png" alt="screenshot" width="800"/>
<img src="https://github.com/bioimage-io/use-cases/blob/main/case2-finetuning/images/ilastik-mc2.png" alt="screenshot" width="800"/>

## Retraining in ZeroCost

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