From 5feb6d421e94c82ecb3112b933cddd00a92f7d72 Mon Sep 17 00:00:00 2001 From: =?UTF-8?q?Caterina=20Fuster-Barcel=C3=B3?= Date: Fri, 25 Aug 2023 10:23:24 +0200 Subject: [PATCH] Update README.md --- case2-finetuning/README.md | 6 +++--- 1 file changed, 3 insertions(+), 3 deletions(-) diff --git a/case2-finetuning/README.md b/case2-finetuning/README.md index ffe51ef..d20aac0 100644 --- a/case2-finetuning/README.md +++ b/case2-finetuning/README.md @@ -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. -drawing -drawing -drawing +screenshot +screenshot +screenshot ## Retraining in ZeroCost