Published June 11, 2024 | Version v1.0.0
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Pretrained model for 3D semantic image segmentation of the liver and liver lesions from ct scan

Creators

  • 1. BAMF Health

Description

These weights are for an nnU-Net v2 model that segments liver and liver lesions from contrast enhanced ct scans. This model was trained on the LiTS 2017 dataset

Files

Dataset006_Liver.zip

Files (1.2 GB)

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md5:efbcf11ed43bc86a115f0f07ec7b669f
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Additional details

References

  • Isensee, F., Jaeger, P. F., Kohl, S. A., Petersen, J., & Maier-Hein, K. H. (2021). nnU-Net: a self-configuring method for deep learning-based biomedical image segmentation. Nature methods, 18(2), 203-211.