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@@ -1,15 +1,5 @@ |
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<h1 align="center">3DLAND: 3D Lesion Abdominal Anomaly Localization Dataset</h1> |
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<div align="center"> |
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[](https://git.dml.ir/mehran.advand/3DLAND/stargazers) |
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<a href="https://twitter.com/bodymaps317"> |
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<img src="https://img.shields.io/twitter/follow/BodyMaps?style=social" alt="Follow on Twitter" /> |
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</a><br/> |
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**Subscribe for updates: [3DLAND Google Group](https://groups.google.com/g/3dland-dataset)** |
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</div> |
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We introduce **3DLAND**, the first large-scale, **organ-aware** 3D lesion segmentation dataset for contrast-enhanced **abdominal CT scans**. |
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@@ -20,6 +10,5 @@ We introduce **3DLAND**, the first large-scale, **organ-aware** 3D lesion segmen |
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This level of structured annotation would traditionally take **25+ years** of expert effort — 3DLAND accomplishes it in weeks using automated reasoning and deep learning. |
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<p align="center"><img width="90%" src="assets/3DLAND_pipeline_overview.jpg" /></p> |
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<p align="center"><img width="100%" src="assets/3DLAND_organs_chart.jpg" /></p> |
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<p align="center"><img width="60%" src="assets/3DLAND_prompt_strategy.png" /></p> |
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<p align="center"><img width="90%" src="assets/full_pipeline.pdf" /></p> |
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<p align="center"><img width="100%" src="assets/omparison_chart.pdf" /></p> |