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Mehran Advand 4 days ago
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<h1 align="center">3DLAND: 3D Lesion Abdominal Anomaly Localization Dataset</h1>

<div align="center">

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**Subscribe for updates: [3DLAND Google Group](https://groups.google.com/g/3dland-dataset)**

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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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This level of structured annotation would traditionally take **25+ years** of expert effort — 3DLAND accomplishes it in weeks using automated reasoning and deep learning.

<p align="center"><img width="90%" src="assets/3DLAND_pipeline_overview.jpg" /></p>
<p align="center"><img width="100%" src="assets/3DLAND_organs_chart.jpg" /></p>
<p align="center"><img width="60%" src="assets/3DLAND_prompt_strategy.png" /></p>
<p align="center"><img width="90%" src="assets/full_pipeline.pdf" /></p>
<p align="center"><img width="100%" src="assets/omparison_chart.pdf" /></p>

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