Published July 7, 2021
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Data and Pre-Trained Models from "Inter Extreme Points Geodesics for End-to-End Weakly Supervised Image Segmentation"
Authors/Creators
- 1. King's College London
Description
Data and pre-trained models from InExtremIS: Dorent, et al: ""Inter Extreme Points Geodesics for End-to-End Weakly Supervised Image Segmentation". MICCAI (2021)
"InExtremIS_labels.zip" contains:
- Manual segmentations performed in consensus by the treating neurosurgeon and physicist.
- Manual extreme points performed by a biomedical engineer
- Simulated extreme points generated using the manual segmentations
- The pre-computed geodesics using the image gradient information only and with the Euclidean distance term
"models.zip" contains the pre-trained models used in the experiments.
Files
InExtremIS_labels.zip
Files
(260.4 MB)
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md5:72bbb8f04519dd198520cdcf8819d450
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30.8 MB | Preview Download |
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md5:55a30bd42011932fa6f692de86c37e99
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229.6 MB | Preview Download |
Additional details
Related works
- Is compiled by
- Conference paper: arXiv:2107.00583 (arXiv)