├── LICENSE └── README.md /LICENSE: -------------------------------------------------------------------------------- 1 | MIT License 2 | 3 | Copyright (c) 2023 ziyangwang007 4 | 5 | Permission is hereby granted, free of charge, to any person obtaining a copy 6 | of this software and associated documentation files (the "Software"), to deal 7 | in the Software without restriction, including without limitation the rights 8 | to use, copy, modify, merge, publish, distribute, sublicense, and/or sell 9 | copies of the Software, and to permit persons to whom the Software is 10 | furnished to do so, subject to the following conditions: 11 | 12 | The above copyright notice and this permission notice shall be included in all 13 | copies or substantial portions of the Software. 14 | 15 | THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR 16 | IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, 17 | FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE 18 | AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER 19 | LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, 20 | OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE 21 | SOFTWARE. 22 | -------------------------------------------------------------------------------- /README.md: -------------------------------------------------------------------------------- 1 | # Awesome-Medical-Image-Segmentation-Dataset 2 | A list of publicly available medical image segmentation dataset. 3 | 4 | 5 | # Chanllenge 6 | 7 | 8 | ## MICCAI 2023 9 | - [The Federated Tumor Segmentation (FeTS) Challenge 2022](https://fets-ai.github.io/Challenge/) 10 | - [Ischemic Stroke Lesion Segmentation Challenge 2022: Acute, sub-acute and chronic stroke infarct segmentation](http://www.isles-challenge.org/) 11 | - [LAScarQS 2022: Left Atrial and Scar Quantification & Segmentation Challenge](https://zmiclab.github.io/projects/lascarqs22/) 12 | - [Brain shift with Intraoperative Ultrasound - Segmentation tasks](https://curious2022.grand-challenge.org/) 13 | - [Multi-Modality Abdominal Multi-Organ Segmentation Challenge 2022](https://amos22.grand-challenge.org/Home/) 14 | - [Pulmonary Artery Segmentation Challenge 2022](https://parse2022.grand-challenge.org/) 15 | 16 | 17 | ## ISBI 2023 18 | 19 | - [APIS: A Paired CT-MRI Dataset for Ischemic Stroke Segmentation Challenge](https://bivl2ab.uis.edu.co/challenges/apis) 20 | - [XPRESS: Xray Projectomic Reconstruction - Extracting Segmentation with Skeletons](https://xpress.grand-challenge.org/) 21 | - [SMILE-UHURA : Small Vessel Segmentation at MesoscopIc ScaLEfrom Ultra-High ResolUtion 7T Magnetic Resonance Angiograms]( 22 | https://www.soumick.com/en/uhura/) 23 | - [SHINY-ICARUS: Segmentation over tHree dImensional rotational aNgiographY of Internal Carotid ArteRy with aneUrySm](https://www.synapse.org/shiny_icarus) 24 | 25 | ## MICCAI 2022 26 | - [Multi-domain Cross-time-point Infant Cerebellum MRI Segmentation 2022](https://tarheels.live/cseg2022/) 27 | - [Head and Neck Tumor Segmentation in PET/CT: The HECKTOR Challenge](https://hecktor.grand-challenge.org/) 28 | - [Fast and Low-resource semi-supervised Abdominal oRgan sEgmentation in CT （FLARE 2022](https://flare22.grand-challenge.org/) 29 | - [3D Teeth Scan Segmentation and Labeling Challenge](https://3dteethseg.grand-challenge.org/) 30 | - [CarOtid vessel wall SegMentation and atherosclerOsis diagnosiS challenge (COSMOS 2022)](https://vessel-wall-segmentation-2022.grand-challenge.o) 31 | - [The 2022 Intracranial Hemorrhage Segmentation Challenge on Non-Contrast head CT (NCCT)](https://instance.grand-challenge.org/) 32 | - [Automatic tumor lesion segmentation in whole-body FDG-PET/CT](https://autopet.grand-challenge.org/) 33 | 34 | ## ISBI 2022 35 | - [CoNIC: Colon Nuclei Identification and Counting Challenge](https://conic-challenge.grand-challenge.org/) 36 | 37 | 38 | ## MICCAI 2021 39 | - [KiTS21: 2021 Kidney and Kidney Tumor Segmentation Challenge](https://kits21.kits-challenge.org/) 40 | - [FLARE21: Fast and Low GPU memory Abdominal oRgan sEgmentation](https://flare.grand-challenge.org/) 41 | - [FeTS: Federated Tumor Segmentation](https://www.med.upenn.edu/cbica/fets/) 42 | - [FeTA: Fetal Brain Tissue Annotation and Segmentation Challenge](https://feta-2021.grand-challenge.org/) 43 | - [HECKTOR: HEad and neCK TumOR segmentation and outcome prediction in PET/CT images](https://www.aicrowd.com/challenges/miccai-2021-hecktor) 44 | - [M&Ms-2: Multi-Disease, Multi-View & Multi-Center Right Ventricular Segmentation in Cardiac MRI (M&Ms-2)](https://www.ub.edu/mnms-2/) 45 | - [BraTS2021: RSNA-ASNR-MICCAI Brain Tumor Segmentation (BraTS) Challenge 2021](https://www.med.upenn.edu/cbica/brats2021/) 46 | - [FU-Seg: Foot Ulcer Segmentation Challenge 2021](https://fusc.grand-challenge.org/) 47 | - [VWS: Carotid Artery Vessel Wall Segmentation Challenge](https://vessel-wall-segmentation.grand-challenge.or) 48 | 49 | ## ISBI 2021 50 | - [SegPC-2021: Segmentation of Multiple Myeloma Plasma Cells in Microscopic Images](https://segpc-2021.grand-challenge.org/SegPC-2021/) 51 | - [6th ISBI Cell Tracking Challenge](http://celltrackingchallenge.net/?) 52 | 53 | 54 | 55 | ## MICCAI 2020 56 | - [Multimodal Brain Tumor Segmentation Challenge 2020 (BraTS)](https://www.med.upenn.edu/cbica/brats2020/data.html) 57 | - [3D Head and Neck Tumor Segmentation in PET/CT](https://www.aicrowd.com/challenges/miccai-2020-hecktor) 58 | - [Anatomical Brain Barriers to Cancer Spread: Segmentation from CT and MR Images](https://abcs.mgh.harvard.edu/) 59 | - [Automated Segmentation Of Coronary Arteries](https://asoca.grand-challenge.org/) 60 | - [Large Scale Vertebrae Segmentation Challenge](https://verse2020.grand-challenge.org/) 61 | - [Intracranial Aneurysm Detection and Segmentation Challenge](https://adam.isi.uu.nl/) 62 | - [Multi-Centre, Multi-Vendor & Multi-Disease Cardiac Image Segmentation Challenge](https://www.ub.edu/mnms/) 63 | - [Thyroid Nodule Segmentation and Classification in Ultrasound Images](https://tn-scui2020.grand-challenge.org/Home/) 64 | - [MyoPS 2020: Myocardial pathology segmentation combining multi-sequence CMR](http://www.sdspeople.fudan.edu.cn/zhuangxiahai/0/MyoPS20/) 65 | 66 | 67 | ## ISBI 2019 68 | - [SegTHOR: Segmentation of THoracic Organs at Risk in CT images](https://competitions.codalab.org/competitions/21145) 69 | 70 | 71 | 72 | 73 | ## MICCAI 2018 74 | - [ISIC Skin Image Analysis Workshop and Challenge](https://workshop2018.isic-archive.com/) 75 | 76 | ## MICCAI 2017 77 | - [Automated Cardiac Diagnosis Challenge (ACDC)](https://www.creatis.insa-lyon.fr/Challenge/acdc/databases.html) 78 | 79 | ## MICCAI 2015 80 | -[BRATS 2015: Brain Tumor Image Segmentation Challenge](https://www.smir.ch/BRATS/Start2015) 81 | 82 | 83 | ## MICCAI 2014 84 | - [COMPUTATIONAL CHALLENGES On Spine and Vertebrae Segmentation](http://csi-workshop.weebly.com/challenges.html) 85 | 86 | ## MICCAI 2012 87 | - [Evaluation of prostate segmentation algorithms for MRI: The PROMISE12 challenge](https://promise12.grand-challenge.org/) 88 | 89 | 90 | ## Kaggle 91 | - [Brain MRI segmentation](https://www.kaggle.com/datasets/mateuszbuda/lgg-mri-segmentation) 92 | - [Ultrasound Nerve Segmentation](https://www.kaggle.com/competitions/ultrasound-nerve-segmentation) 93 | - [SIIM-ACR Pneumothorax Segmentation](https://www.kaggle.com/competitions/siim-acr-pneumothorax-segmentation) 94 | - [Vessel Segmentation](https://www.kaggle.com/competitions/sai-vessel-segmentation2) 95 | - [COVID-19 CT Images Segmentation](https://www.kaggle.com/competitions/covid-segmentation) 96 | - [Identify glomeruli in human kidney tissue images](https://www.kaggle.com/competitions/hubmap-kidney-segmentation) 97 | 98 | 99 | 100 | # Region of Interest 101 | 102 | ## Cell 103 | - [PanNuke - Open PanCancer Histology Dataset for Nuclei Instance Segmentation and Classification ](https://warwick.ac.uk/fac/cross_fac/tia/data/pannuke) 104 | - [Micro-Net: Fluorescence Cell Segmentation Dataset](https://warwick.ac.uk/fac/cross_fac/tia/data/micronet) 105 | - [HoVer-Net: Simultaneous Segmentation and Classification of Nuclei in Multi-Tissue Histology Images](https://warwick.ac.uk/fac/cross_fac/tia/data/hovernet/) 106 | 107 | ## Abdominal Organs 108 | - [WORD: A large scale dataset, benchmark and clinical applicable study for abdominal organ segmentation from CT image](https://github.com/hilab-git/word) 109 | - [AbdomenCT-1K: Is Abdominal Organ Segmentation A Solved Problem?](https://github.com/JunMa11/AbdomenCT-1K) 110 | 111 | 112 | ## Skin Lesions 113 | - [HAM10000](https://github.com/ptschandl/HAM10000_dataset) 114 | 115 | ## Eye 116 | - [Dataset for Fluorescein Angiography (Video & Late Image) in DME eyes](https://people.duke.edu/~sf59/Rabbani_IOVS_2014_dataset.htm) 117 | - [Retinal Imaging CHASE DB1](https://blogs.kingston.ac.uk/retinal/chasedb1/) 118 | - [RITE (Retinal Images vessel Tree Extraction)](https://medicine.uiowa.edu/eye/rite-dataset) 119 | - [ROSE (Retinal OCTA SEgmentation dataset)](https://imed.nimte.ac.cn/dataofrose.html) 120 | 121 | ## Spine 122 | - [IVDM3Seg: Intervertebral Disc (IVD) Localization and Segmentation from 3D Multi-Modality MR (M3) Images](http://spineweb.digitalimaginggroup.ca/Index.php?n=Main.Datasets#Dataset_14.3A_IVDM3Seg_.E2.80.93_Intervertebral_Disc_.28IVD.29_Localization_and_Segmentation_from_3D_Multi-Modality_MR_.28M3.29_Images) 123 | - [xVertSeg - Segmentation and Classification of Fractured Vertebrae](http://lit.fe.uni-lj.si/xVertSeg/) 124 | - [Intervertebral Disc Localization and Segmentation: 3D T2-weighted Turbo Spin Echo MR image Database](http://spineweb.digitalimaginggroup.ca/Index.php?n=Main.Datasets#Dataset_7.3A_Intervertebral_Disc_Localization_and_Segmentation.3A_3D_T2-weighted_Turbo_Spin_Echo_MR_image_Database) 125 | - [Intervertebral Disc Localization and Segmentation Multi-modality MRI Spine Image Database](http://spineweb.digitalimaginggroup.ca/Index.php?n=Main.Datasets#Dataset_6.3A_Intervertebral_Disc_Localization_and_Segmentation_Multi-modality_MRI_Spine_Image_Database) 126 | - [Lumbar vertebra segmentation CT image database](http://lit.fe.uni-lj.si/) 127 | 128 | 129 | ## Kidney 130 | - [2021 Kidney and Kidney Tumor Segmentation Challenge](https://kits21.kits-challenge.org/) 131 | 132 | 133 | ## Others 134 | - [Medical Segmentation Decathlon](http://medicaldecathlon.com/) 135 | - [PAXRay: A Projected dataset for the segmentation of Anatomical structures in X-Ray data](https://constantinseibold.github.io/paxray/) 136 | - [Annotations for Chemotherapy and Radiation Therapy in Treating Young Patients With Newly Diagnosed, Previously Untreated, High-Risk Medulloblastoma/PNET](https://wiki.cancerimagingarchive.net/pages/viewpage.action?pageId=119703167) --------------------------------------------------------------------------------