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Lung Cancer Dataset Lung cancer dataset without attribute definitions 56 features are given for each case 32 Text Classification 1992 [270] [271] Z. Hong et al. Arrhythmia Dataset Data for a group of patients, of which some have cardiac arrhythmia. 276 features for each instance. 452 Text Classification 1998 [272] [273] H. Altay et al.
A number of online neuroscience databases are available which provide information regarding gene expression, neurons, macroscopic brain structure, and neurological or psychiatric disorders. Some databases contain descriptive and numerical data, some to brain function, others offer access to 'raw' imaging data, such as postmortem brain sections ...
The Brain Imaging Data Structure (BIDS) is a standard for organizing, annotating, and describing data collected during neuroimaging experiments. It is based on a formalized file and directory structure and metadata files (based on JSON and TSV ) with controlled vocabulary . [ 1 ]
The Cancer Imaging Archive (TCIA) is an open-access database of medical images for cancer research. The site is funded by the National Cancer Institute's (NCI) Cancer Imaging Program, and the contract is operated by the University of Arkansas for Medical Sciences. Data within the archive is organized into collections which typically share a ...
The Neuroimaging Informatics Technology Initiative (NIfTI) is an open file format [1] commonly used to store brain imaging data obtained using Magnetic Resonance Imaging methods. References [ edit ]
The project was funded, and serious implementation of the system in MUMPS began. The original MUMPS system was, like Unix a few years later, built on a DEC PDP-7 . Octo Barnett and Neil Pappalardo obtained a backward compatible PDP-9 , and began using MUMPS in the admissions cycle and laboratory test reporting.
The 5th WHO classification delineates distinct types of tumors, some of them being further divided into subtypes, rendering the former terms entity and variant obsolete. When molecular diagnostics are not complete enough to allow precise classification, diagnosis should be designated by appending not otherwise specified (NOS).
Magenta is a project that uses Google Brain to create new information in the form of art and music rather than classify and sort existing data. [2] TensorFlow was updated with a suite of tools for users to guide the neural network to create images and music. [ 2 ]