Merge branch 'main' of https://github.com/mehrn79/3DLAND

LICENSE

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+Creative Commons Attribution 4.0 International Public License
+
+By exercising the Licensed Rights (defined below), You accept and agree to be bound by the terms and conditions of this Creative Commons Attribution 4.0 International Public License ("Public License").
+
+You are free to:
+  • Share — copy and redistribute the material in any medium or format
+  • Adapt — remix, transform, and build upon the material for any purpose, even commercially.
+
+Under the following terms:
+  • Attribution — You must give appropriate credit, provide a link to the license, and indicate if changes were made. You may do so in any reasonable manner, but not in any way that suggests the licensor endorses you or your use.
+
+No additional restrictions — You may not apply legal terms or technological measures that legally restrict others from doing anything the license permits.
+
+Notices:
+  • You do not have to comply with the license for elements of the material in the public domain or where your use is permitted by an applicable exception or limitation.
+  • No warranties are given. The license may not give you all of the permissions necessary for your intended use. For example, other rights such as publicity, privacy, or moral rights may limit how you use the material.
+
+To view the full license, visit:
+https://creativecommons.org/licenses/by/4.0/

README.md

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+# 3DLAND
+Organ-aware 3D lesion segmentation dataset and pipeline for abdominal CT analysis (ACM Multimedia 2025)
+
+# 3DLAND: 3D Lesion Abdominal Anomaly Localization Dataset
+
+This repository contains the code and dataset instructions for **3DLAND**, the first large-scale, organ-aware 3D lesion segmentation benchmark for abdominal CT scans, introduced at *ACM Multimedia 2025*.
+
+## 🌐 Overview
+
+- 6,000+ contrast-enhanced CT studies
+- 3D lesion masks aligned with 7 abdominal organs
+- Prompt-based annotation and propagation pipeline
+- Applications: anomaly detection, lesion retrieval, organ-aware analysis
+
+## 🧠 Pipeline
+
+The lesion segmentation pipeline includes:
+1. Organ segmentation via MONAI
+2. Lesion-to-organ assignment
+3. 2D mask generation using SAM prompts
+4. 3D mask propagation using MedSAM2
+
+## 📦 Dataset
+
+The dataset (metadata + mask annotations) is hosted at:  
+👉 [Download via Zenodo](https://zenodo.org/...) *(or your link)*
+
+## 📄 License
+
+The dataset and outputs are licensed under **CC BY 4.0**.  
+See the full license in the [LICENSE](LICENSE) file or at [creativecommons.org/licenses/by/4.0](https://creativecommons.org/licenses/by/4.0/)
+
+## 🚀 Getting Started
+
+```bash
+git clone https://github.com/yourusername/3DLAND.git
+cd 3DLAND
+pip install -r requirements.txt
+