mehran.advand
/
3DLAND
Watch 1
Star 0
Fork 0
Code Issues 0 Pull Requests 0 Releases 0 Wiki Activity
Organ-aware 3D lesion segmentation dataset and pipeline for abdominal CT analysis (ACM Multimedia 2025 candidate)
You can not select more than 25 topics Topics must start with a letter or number, can include dashes ('-') and can be up to 35 characters long.
19 Commits
1 Branch
Tree: 11fceaf980
Branches Tags
${ item.name }
Create branch ${ searchTerm }
from '11fceaf980'
${ noResults }
3DLAND/README.md

README.md 711B
Raw Blame History

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