Commit b58b4c62 authored by cc215's avatar cc215 💬
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update readme

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......@@ -33,9 +33,9 @@ author: Chen Chen (cc215@ic.ac.uk)
Results will be saved under `test_results` by default.
## Model performance across intra-domain and public out-of-domain data
- For cardiac segmentation on short-axis images, we provide the model trained on UKBB (~4000 training subjects), with extensive data augmentations. This model achieves extradinary performance across various unseen challenge datasets, [ACDC](), [M&Ms](). We report the segmentation performance in terms of Dice score.
- For cardiac segmentation on short-axis images, we provide the model trained on UKBB (~4000 training subjects), with extensive data augmentations. This model achieves extradinary performance across various unseen challenge datasets, [ACDC](https://www.creatis.insa-lyon.fr/Challenge/acdc/databases.html), [M&Ms](https://www.ub.edu/mnms/). We report the segmentation performance on these datasets in terms of Dice score.
| | UKBB test (600) | | | ACDC (100) | | | M&Ms (150) | | |
| | UKBB test (600 subjects, 1200 frames: ED+ES) | | | ACDC (100 subjects, 200 frames: ED+ES) | | | M&Ms (150 subjects, 300 frames: ED+ES) | | |
|- |:-: |:-: |:-: |:-: |:-: |:-: |:-: |:-: |:-: |
| configurations | LV | MYO | RV | LV | MYO | RV | LV | MYO | RV |
| batch_size = 1, roi size = 256, z_score | 0.9383 | 0.8780 | 0.8979 | 0.8940 | 0.8034 | 0.8237 | 0.8862 | 0.7889 | 0.8168 |
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