3DLAND: 3D Lesion Abdominal Anomaly Localization Dataset

We introduce **3DLAND**, the first large-scale, **organ-aware** 3D lesion segmentation dataset for contrast-enhanced **abdominal CT scans**. - 📦 **6,000+** CT volumes - 🧠 3D Lesions labeled across **7 abdominal organs**: liver, kidneys, spleen, pancreas, stomach, gallbladder - 🤖 Built using a **prompt-driven**, expert-verified segmentation pipeline - ⚙️ Designed for tasks such as anomaly detection, lesion retrieval, and multimedia-driven clinical AI