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3D Medical Imaging Segmentation datasets

archive 2025-07-28

9 datasets carry the task tag "3D Medical Imaging Segmentation" (the task itself: 3D Medical Imaging Segmentation), ordered by the archive's paper count. Page 1 of 1: 9 shown of 9. Facet routes are this site's own (the archive records the tag string, not a page).

The archive holds 12,214 dataset rows; 12,172 are listed. 6 are withheld from every listing and count here as vandalised before snapshot (6 with contact-centre spam in the title, 0 with a spam description on a row that has no homepage, no paper and no papers counted; none with more than 1 paper, 0 with a benchmark), listed in withheld.json; 1 listed row carries a vandalised description, withheld on its page. This gate never withholds a row with a homepage or a paper that resolves, and a clean description; the content rules below withhold a row whose name is spam whatever else it carries. The gate is a phrase list: these are the rows it caught, not a claim that the rest is clean. Before that gate, the site's content rules withhold 36 more rows (invite-code, gambling, travel-booking, contact-centre and similar spam in the name or on a row with nothing real behind it); they have no page and are listed in withheld.json.

Filter 51 task tags shown of 3,717, by dataset count; the full filter by modality, task and language is on /datasets

All 12,172 Question Answering 413Semantic Segmentation 347Object Detection 332Image Classification 283Classification 222Text Classification 167Language Modelling 166Text Generation 162Visual Question Answering (VQA) 144Named Entity Recognition (NER) 130Pose Estimation 124Anomaly Detection 119Action Recognition 115Instance Segmentation 111Sentiment Analysis 104Text Summarization 98Domain Adaptation 96Speech Recognition 96Reading Comprehension 95Information Retrieval 932D Object Detection 92Image Retrieval 87Machine Translation 82Relation Extraction 822D Semantic Segmentation 81Natural Language Inference 81Image Captioning 79Image Generation 79Depth Estimation 77Node Classification 75Natural Language Understanding 72Autonomous Driving 70Code Generation 70Object Tracking 693D Object Detection 67Face Recognition 67Link Prediction 67Person Re-Identification 65Data Augmentation 63Multi-Task Learning 593D Reconstruction 58Common Sense Reasoning 56Recommendation Systems 56Video Understanding 56Optical Character Recognition (OCR) 55Graph Classification 54Abstractive Text Summarization 52Emotion Recognition 52Medical Image Segmentation 52Word Embeddings 523D Medical Imaging Segmentation 9

3D Medical Imaging Segmentation datasets 1–9 of 9

VerSe (Large Scale Vertebrae Segmentation Challenge)
Spine or vertebral segmentation is a crucial step in all applications regarding automated quantification of spinal morphology and pathology.
Images3DMedical3D Medical Imaging Segmentation
39 papers · 0 benchmarks
SKM-TEA (Stanford Knee MRI with Multi-Task Evaluation)
The SKM-TEA dataset pairs raw quantitative knee MRI (qMRI) data, image data, and dense labels of tissues and pathology for end-to-end exploration and evaluation of the MR imaging pipeline.
ImagesMedicalMRIMRI ReconstructionMedical Object Detection3D Medical Imaging SegmentationMRI segmentation
16 papers · 0 benchmarks
ATLAS v2.0 (Anatomical Tracings of Lesions After Stroke Dataset version 2.0)
Accurate lesion segmentation is critical in stroke rehabilitation research for the quantification of lesion burden and accurate image processing.
3DBiomedicalMedicalMRI3D Medical Imaging SegmentationAcute Stroke Lesion Segmentation
8 papers · 1 benchmark
KiTS19 (The 2019 Kidney and Kidney Tumor Segmentation Challenge)
The 2021 Kidney and Kidney Tumor Segmentation challenge (abbreviated KiTS21) is a competition in which teams compete to develop the best system for automatic semantic segmentation of renal tumors and surrounding anatomy.
3DMedicalSemi-Supervised Semantic Segmentation3D Semantic Segmentation3D Medical Imaging Segmentation
7 papers · 1 benchmark
RAD-ChestCT Dataset
The RAD-ChestCT dataset is a large medical imaging dataset developed by Duke MD/PhD Rachel Draelos during her Computer Science PhD supervised by Lawrence Carin.
Images3DMedical3D Classification3D Medical Imaging Segmentation
6 papers · 0 benchmarks
BHSD (A 3D Multi-class Brain Hemorrhage Segmentation Dataset)
Intracranial hemorrhage (ICH) is a pathological condition characterized by bleeding inside the skull or brain, which can be attributed to various factors.
Segmentation3D Medical Imaging Segmentation
5 papers · 0 benchmarks
HaN-Seg (The Head and Neck Organ-at-Risk CT & MR Segmentation Challenge)
Cancer in the region of the head and neck (HaN) is one of the most prominent cancers, for which radiotherapy represents an important treatment modality that aims to deliver a high radiation dose to the targeted cancerous cells while…
3DMedicalMRI3D Medical Imaging Segmentation
5 papers · 0 benchmarks
EPISURG (EPISURG: a dataset of postoperative MRI for quantitative analysis of resection neurosurgery for refractory epilepsy)
EPISURG is a clinical dataset of T1-weighted magnetic resonance images (MRI) from 430 epileptic patients who underwent resective brain surgery at the National Hospital of Neurology and Neurosurgery (Queen Square, London, United Kingdom)…
Images3DMedicalMRI3D Medical Imaging Segmentation
2 papers · 0 benchmarks
MRSpineSeg Challenge
1、 Competition name: The 2nd China Society of Image and Graphics (CSIG) Image and Graphics Technology Challenge: MRSpineSeg Challenge: Automated Multi-class Segmentation of Spinal Structures on Volumetric MR Images.
Images3DMedical3D Medical Imaging Segmentation
1 paper · 0 benchmarks

Paper counts and descriptions are the archive's, frozen 2025-07-28; no citation counts, no stars, no trending. Sorting by "most cited" or "newest" was a live-site feature the archive does not carry.