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Mehran Advand 4 days ago
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@@ -8,7 +8,7 @@ We introduce **3DLAND**, the first large-scale, **organ-aware** 3D lesion segmen
- 🤖 Built using a **prompt-driven**, expert-verified segmentation pipeline
- ⚙️ Designed for tasks such as anomaly detection, lesion retrieval, and multimedia-driven clinical AI

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/full_pipeline.pdf" /></p>
<p align="center"><img width="100%" src="assets/omparison_chart.pdf" /></p>

<p align="center"><img width="90%" src="assets/full_pipeline.png" /></p>
<p align="center"><img width="100%" src="assets/omparison_chart.png" /></p>

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