|
|
@@ -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> |