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Data · dataset · 2026

mehiii/3DLAND

Listed in Hugging Face Datasets

Description

3DLAND: 3D Lesion Abdominal Anomaly Localization Dataset This repository accompanies the 3DLAND project — a large-scale, organ-aware 3D lesion segmentation benchmark for abdominal CT scans. 📦 Dataset We curated over 6,000 contrast-enhanced abdominal CT scans from the publicly available DeepLesion dataset, selecting only those studies that include visible lesions or anomalies in abdominal organs. To transform these raw scans into a structured, organ-aware 3D segmentation… See the full description on the dataset page: huggingface.co/datasets/mehiii/3DLAND.

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Where it is published

Catalogue records · 1

Topics

Inferred from text
Computed tomography 50%
Provenance · 1 source records, 8 field assertions
SourceKeyLast seenRaw
Hugging Face Datasetsmehiii/3DLAND13 d agoJSON v1
FieldAssertionExtractorEvidence
access_levelsource · Hugging Faceconnector:huggingface@1.0.0/gated
concepts[field].local:field:computer-science-aimapping · Hugging Faceconnector:huggingface@1.0.0
concepts[modality].local:modality:ctenrichment · Hugging Facekeyword-concept-rules@1.0.0title+description (50%)
created_datesource · Hugging Faceconnector:huggingface@1.0.0
descriptionsource · Hugging Faceconnector:huggingface@1.0.0/description
publication_datesource · Hugging Faceconnector:huggingface@1.0.0
titlesource · Hugging Faceconnector:huggingface@1.0.0/id
updated_datesource · Hugging Faceconnector:huggingface@1.0.0