医学图像数据集下载地址_synapse dataset

有些需要富强文明上网。

1.ACDC dataset

 Human Heart Project

2.Brain_Tumor_Segmentation_BraTS_2019

MICCAI's Dataset on Brain Tumor Segmentation(Year 2019）

https://www.kaggle.com/datasets/aryashah2k/brain-tumor-segmentation-brats-2019

3.MM-WHS 2017 Dataset

https://mega.nz/folder/UNMF2YYI#1cqJVzo4p_wESv9P_pc8uA

4.NIH Pancreas-CT Dataset

NIH Pancreas-CT Dataset - Academic Torrents

种子，下载还是很快的，比在官网下载的整理格式要好，官网的是dcm格式。 

5.Synapse dataset

Multi-Atlas Labeling Beyond the Cranial Vault - Workshop and Challenge

 Synapse | Sage Bionetworks

 

6.The SUSTech-SYSU dataset

The SUSTech-SYSU dataset for automated exudate detection and diabetic retinopathy grading

7.INDIAN DIABETIC RETINOPATHY IMAGE DATASET-------IDRiD dataset

INDIAN DIABETIC RETINOPATHY IMAGE DATASET | Kaggle

8.PROMISE12

Data from the MICCAI Grand Challenge: Prostate MR Image Segmentation 2012

PROMISE12: Data from the MICCAI Grand Challenge: Prostate MR Image Segmentation 2012 | ZenodoThis repository contains all data associated with the 'Prostate MR Image Segmentation'-challenge 2012 on https://promise12.grand-challenge.org/. The goal of this challenge was to compare interactive and (semi)-automatic segmentation algorithms for MRI of the prostate.   https://zenodo.org/record/8014041

9.A Fundus Image Dataset for Domain Generalization in Joint Segmentation of Optic Disc and Optic Cup

 A Fundus Image Dataset for Domain Generalization in Joint Segmentation of Optic Disc and Optic Cup | ZenodoWe provide a fundus image dataset for domain generalization, which includes 5 different medical centres. This dataset is based on the REFUGE[1] dataset, Drishti-GS[2] dataset, ORIGA[3] dataset, and RIGA[4] dataset. We appreciate their efforts devoted by the authors of [1-4]. Details of this dataset Domain Cases in Each Domain (Training/Test) REFUGE 320/80 Drishti-GS 50/51 ORIGA 500/150 BinRushed (RIGA) 156/39 Magrabia (RIGA) 76/19 [1] Orlando J I, Fu H, Breda J B, et al. Refuge challenge: A unified framework for evaluating automated methods for glaucoma assessment from fundus photographs[J]. Medical image analysis, 2020, 59: 101570. [2] Sivaswamy J, Krishnadas S R, Joshi G D, et al. Drishti-GS: Retinal image dataset for optic nerve head (onh) segmentation[C]//2014 IEEE 11th international symposium on biomedical imaging (ISBI). IEEE, 2014: 53-56. [3] Zhang Z, Yin F S, Liu J, et al. Origa-light: An online retinal fundus image database for glaucoma analysis and research[C]//2010 Annual international conference of the IEEE engineering in medicine and biology. IEEE, 2010: 3065-3068. [4] Almazroa A, Alodhayb S, Osman E, et al. Retinal fundus images for glaucoma analysis: the RIGA dataset[C]//Medical Imaging 2018: Imaging Informatics for Healthcare, Research, and Applications. SPIE, 2018, 10579: 55-62. If you find this dataset useful for your research, please consider citing the paper as follows: @article{chen2023treasure, title={Treasure in Distribution: A Domain Randomization based Multi-Source Domain Generalization for 2D Medical Image Segmentation}, author={Chen, Ziyang and Pan, Yongsheng and Ye, Yiwen and Cui, Hengfei and Xia, Yong}, booktitle={Medical Image Computing and Computer Assisted Intervention -- MICCAI 2023}, year={2023} }  https://zenodo.org/record/8009107

自取：
http删s://pan删.quar删k.cn/s/8f488819f4fe

后面遇到会 继续添加