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Aerial Image Segmentation Dataset 80 high-resolution aerial images with spatial resolution ranging from 0.3 to 1.0. Images manually segmented. 80 Images Aerial Classification, object detection 2013 [156] [157] J. Yuan et al. KIT AIS Data Set Multiple labeled training and evaluation datasets of aerial images of crowds.
ITK-SNAP is an interactive software application that allows users to navigate three-dimensional medical images, manually delineate anatomical regions of interest, and perform automatic image segmentation.
Further information can be found in the medical / scientific literature. [35] [36] [37] A beta release of AIDA [v4.5c (beta)] incorporating lispro, regular, NPH and glargine insulins is available for download from the AIDA website. AIDA v4.5c (beta) is still undergoing testing / further development but has been available without charge from the ...
Award-winning free collaboratory with over 1000 neuroinformatics software tools, imaging datasets, and community resources including forums and events. Human, mouse, rat, other Microscopic, macroscopic Datasets Healthy and diseased: No Open Access Series of Imaging Studies (OASIS) Structural MRI images Human Macroscopic MRI datasets
Studierfenster (StudierFenster) is a free, non-commercial Open Science client/server-based Medical Imaging Processing (MIP) online framework. [ 52 ] Medical open network for AI is a framework for Deep learning in healthcare imaging that is open-source available under the Apache Licence and supported by the community.
3D Slicer (Slicer) is a free and open source software package for image analysis [1] [2] and scientific visualization. Slicer is used in a variety of medical applications, including autism , multiple sclerosis , systemic lupus erythematosus , prostate cancer , lung cancer , breast cancer , schizophrenia , orthopedic biomechanics , COPD ...
Has there been any consideration of adding medical imaging datasets? There are some large public repositories of medical images that could be very useful to people looking for ML data such as The Cancer Imaging Archive, which has radiology and histopathology imaging data from many thousands of subjects along with extensive supporting data that could be used as labels for common classification ...
Currently featured are complete brain atlas datasets for 16 species; a few of which are: Macaca mulatta, Chlorocebus aethiops, Felis silvestris catus, Mus musculus, Rattus norvegicus, and Tyto alba. The project's principal investigator was UC Davis neuroscientist Ted Jones from 2005 through 2011, after which the role was taken by W. Martin Usrey.