Kaggle medical image datasets are collections of medical images that have been organized and annotated for use in machine learning and deep learning applications. The datasets typically contain a large number of images, often in the tens of thousands, and are organized into categories or classes. The images in the datasets can be of any type, including X-rays, MRI scans, and CT scans.
2. NIH Image Gallery
The NIH medical image datasets are a collection of medical images that have been collected and made available by the National Institutes of Health (NIH). The images in the dataset can be used to train and test algorithms for various medical image analysis tasks.
ImageNet is a large-scale medical image dataset that contains more than 1 million images of various diseases and conditions. The dataset is divided into several categories, such as cancer, diabetes, and Alzheimer’s disease.
4.UCI Machine Learning Repository
The UCI Machine Learning Repository is a collection of databases, domain theories, and data generators that are used by the machine learning community for the development and evaluation of machine learning algorithms. The repository is also a source of medical image datasets for research purposes.
5.Stanford Medical ImageNet
The Stanford Medical ImageNet is a petabyte-scale searchable repository of annotated de-identified clinical (radiology and pathology) images, linked to genomic data and electronic medical record information, for use in rapid creation of computer vision systems. It were created by Stanford University for use in research on medical image analysis. The datasets contain a variety of images, including X-rays, MRI scans, and CT scans.
6.Open Images Dataset
The Open Images Dataset is a large-scale, open-source dataset that contains over 9 million images. The dataset is organized into over 15,000 categories, and each image is labeled with one or more of these categories.
7.Cancer Imaging Archive
Cancer Imaging Archive (TCIA) is a large archive of medical images of cancer, available for public download. The archive is maintained by the National Cancer Institute (NCI) and includes images from a variety of cancer types.
8.Alzheimer’s Disease Neuroimaging Initiative
The Alzheimer’s Disease Neuro Imaging Initiative (ADNI) image datasets are a collection of brain scans and related data from people with Alzheimer’s disease, healthy older people, and younger people. The datasets are used by researchers to study the progression of Alzheimer’s disease and to develop and test new treatments.
9.Google Dataset Search
Google Dataset Search is a search engine for finding datasets online. It includes data from a variety of sources, including government agencies, universities, and businesses. The search engine includes a variety of filters so that users can narrow their search to find the specific type of data they are looking for.
Welcome to The Cancer Imaging Archive