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Medical Image Segmentation datasets

archive 2025-07-28

52 datasets carry the task tag "Medical Image Segmentation" (the task itself: Medical Image Segmentation), ordered by the archive's paper count. Page 1 of 2: 48 shown of 52. 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 50 task tags shown of 3,717, by dataset count; the full filter by modality, task and language is on /datasets

Medical Image Segmentation datasets 1–48 of 52

DRIVE (Digital Retinal Images for Vessel Extraction)
The Digital Retinal Images for Vessel Extraction (DRIVE) dataset is a dataset for retinal vessel segmentation.
311 papers · 2 benchmarks
Kvasir-SEG is an open-access dataset of gastrointestinal polyp images and corresponding segmentation masks, manually annotated by a medical doctor and then verified by an experienced gastroenterologist.
201 papers · 2 benchmarks
Kvasir (The Kvasir Dataset)
The KVASIR Dataset was released as part of the medical multimedia challenge presented by MediaEval.
117 papers · 1 benchmark
GlaS (Gland Segmentation in Colon Histology Images Challenge)
The dataset used in this challenge consists of 165 images derived from 16 H&E stained histological sections of stage T3 or T42 colorectal adenocarcinoma.
112 papers · 1 benchmark
Despite the considerable progress in automatic abdominal multi-organ segmentation from CT/MRI scans in recent years, a comprehensive evaluation of the models' capabilities is hampered by the lack of a large-scale benchmark from diverse…
105 papers · 1 benchmark
The Medical Segmentation Decathlon is a collection of medical image segmentation datasets.
97 papers · 1 benchmark
The PROMISE12 dataset was made available for the MICCAI 2012 prostate segmentation challenge.
84 papers · 2 benchmarks
CHASEDB1 is a dataset for retinal vessel segmentation which contains 28 color retina images with the size of 999×960 pixels which are collected from both left and right eyes of 14 school children.
59 papers · 2 benchmarks
CVC-ClinicDB is an open-access dataset of 612 images with a resolution of 384×288 from 31 colonoscopy sequences.It is used for medical image segmentation, in particular polyp detection in colonoscopy videos.
54 papers · 1 benchmark
ACDC (Automated Cardiac Diagnosis Challenge)
The goal of the Automated Cardiac Diagnosis Challenge (ACDC) challenge is to: - compare the performance of automatic methods on the segmentation of the left ventricular endocardium and epicardium as the right ventricular endocardium for…
52 papers · 5 benchmarks
2018 Data Science Bowl (2018 Data Science Bowl Find the nuclei in divergent images to advance medical discovery)
This dataset contains a large number of segmented nuclei images.
49 papers · 1 benchmark
LiTS17 (Liver Tumor Segmentation Challenge 2017)
LiTS17 is a liver tumor segmentation benchmark.
45 papers · 3 benchmarks
WORD (Whole abdominal Organs Dataset)
WORD is a dataset for organ semantic segmentation that contains 150 abdominal CT volumes (30,495 slices) and each volume has 16 organs with fine pixel-level annotations and scribble-based sparse annotation, which may be the largest dataset…
38 papers · 0 benchmarks
Under Institutional Review Board (IRB) supervision, 50 abdomen CT scans of were randomly selected from a combination of an ongoing colorectal cancer chemotherapy trial, and a retrospective ventral hernia study.
31 papers · 3 benchmarks
MosMedData contains anonymised human lung computed tomography (CT) scans with COVID-19 related findings, as well as without such findings.
22 papers · 1 benchmark
Consists of annotated frames containing GI procedure tools such as snares, balloons and biopsy forceps, etc.
19 papers · 3 benchmarks
CrossMoDA (Cross-Modality Domain Adaptation)
CrossMoDA is a large and multi-class benchmark for unsupervised cross-modality Domain Adaptation.
18 papers · 0 benchmarks
The dataset for this challenge was obtained by carefully annotating tissue images of several patients with tumors of different organs and who were diagnosed at multiple hospitals.
17 papers · 2 benchmarks
The CELL benchmark is made of fluorescence microscopy images of cell.
12 papers · 3 benchmarks
HyperKvasir dataset contains 110,079 images and 374 videos where it captures anatomical landmarks and pathological and normal findings.
12 papers · 2 benchmarks
This dataset contains 1200 images (1000 WLI images and 200 FICE images) with fine-grained segmentation annotations.
9 papers · 1 benchmark
MyoPS is a dataset for myocardial pathology segmentation combining three-sequence cardiac magnetic resonance (CMR) images, which was first proposed in the MyoPS challenge, in conjunction with MICCAI 2020.
8 papers · 0 benchmarks
ROBUST-MIS (Robust Medical Instrument Segmentation Challenge 2019)
The ROBUST-MIS dataset was made available to support the Robust Medical Instrument Segmentation (ROBUST-MIS) Challenge 2019, part of the Endoscopic Vision Challenge associated with MICCAI.
8 papers · 1 benchmark
The CheXmask Database presents a comprehensive, uniformly annotated collection of chest radiographs, constructed from five public databases: ChestX-ray8, Chexpert, MIMIC-CXR-JPG, Padchest and VinDr-CXR.
7 papers · 0 benchmarks
ARCADE (Automatic Region-based Coronary Artery Disease diagnostics using x-ray angiography imagEs Dataset)
ARCADE: Automatic Region-based Coronary Artery Disease diagnostics using x-ray angiography imagEs Dataset Phase 2 consist of two folders with 300 images in each of them as well as annotations.
6 papers · 0 benchmarks
This brain anatomy segmentation dataset has 1300 2D US scans for training and 329 for testing.
5 papers · 1 benchmark
Kvasir-Sessile dataset (Sessile polyps from Kvasir-SEG)
The Kvasir-SEG dataset includes 196 polyps smaller than 10 mm classified as Paris class 1 sessile or Paris class IIa.
5 papers · 0 benchmarks
RITE (Retinal Images vessel Tree Extraction)
The RITE (Retinal Images vessel Tree Extraction) is a database that enables comparative studies on segmentation or classification of arteries and veins on retinal fundus images, which is established based on the public available DRIVE…
5 papers · 2 benchmarks
Inolves an annotated a large number of cells, including normal epithelial and myoepithelial breast cells (localized in ducts and lobules), invasive carcinomatous cells, fibroblasts, endothelial cells, adipocytes, macrophages and…
5 papers · 1 benchmark
Fetoscopic Placental Vessel Segmentation and Registration (FetReg) is a large-scale multi-centre dataset for the development of generalized and robust semantic segmentation and video mosaicking algorithms for the fetal environment with a…
3 papers · 0 benchmarks
The dataset contains a Video capsule endoscopy dataset for polyp segmentation.
3 papers · 1 benchmark
The “Medico automatic polyp segmentation challenge” aims to develop computer-aided diagnosis systems for automatic polyp segmentation to detect all types of polyps (for example, irregular polyp, smaller or flat polyps) with high efficiency…
3 papers · 1 benchmark
The Vocal Folds dataset is a dataset for automatic segmentation of laryngeal endoscopic images.
3 papers · 0 benchmarks
The dataset available for download on this webpage represents a 5x5x5µm section taken from the CA1 hippocampus region of the brain, corresponding to a 1065x2048x1536 volume.
2 papers · 1 benchmark
The fetoscopy placenta dataset is associated with our MICCAI2020 publication titled “Deep Placental Vessel Segmentation for Fetoscopic Mosaicking”.
2 papers · 0 benchmarks
Automated measurement of fetal head circumference using 2D ultrasound images
2 papers · 0 benchmarks
This database is provided and maintained by Dr.
2 papers · 1 benchmark
The AneuX morphology database includes data from 3 different data sources: AneuX, @neurIST and Aneurisk.
1 paper · 0 benchmarks
A multi-tasking oral ulcer dataset (Autooral dataset) is proposed.
1 paper · 1 benchmark
BreastDICOM4 ([MIMBCD-UI] UTA4: Medical Imaging DICOM Files Dataset)
Several datasets are fostering innovation in higher-level functions for everyone, everywhere.
1 paper · 1 benchmark
CoCaHis (Colon Cancer Histology Dataset)
Highlights • Publicly available dataset with 82 H&E stained images of frozen sections.
1 paper · 0 benchmarks
ENSeg Dataset Overview This dataset represents an enhanced subset of the ENS dataset.
1 paper · 1 benchmark
Extended Task10_Colon Medical Decathlon (Extended Task10_Colon of Medical Segmentation Decathlon dataset)
A dataset of abdominal CT studies in NifTi format from the open-source medical data repository Medical Decathlon was utilized.
1 paper · 1 benchmark
A dataset of A 3D Computed Tomography (CT) image dataset, ImageTBAD, for segmentation of Type-B Aortic Dissection is published.
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.