# MR Images, Brain Lesions, and Deep Learning
## 2 The Literature Review: Selection Criteria
### Computer-Aided Diagnosis in Medical Imaging (CADx System)
#### 3.2.2 Image Preprocessing
\begin{table}
\begin{tabular}{c c c c c} \hline \hline
**Dataset** & **Details** & **Type:** & & \\
**Name** & **Details** & **Private** & **Website** & **Reference/** \\  & & **Public** & & **Support** \\ \hline ADNI & Alzheimer’s Disease Neuroimaging Initiative & Public, require & [[http://adni.loni.usc](http://adni.loni.usc)]([http://adni.loni.usc](http://adni.loni.usc)). & Alzheimer’s Disease Neuroimaging \\  & contains data from different types (clinical, & registration and & edu/data-samples/ & Disease Neuroimaging \\  & genetic, MR images, PET images, & approval & data-types/ (accessed on 10 December 2020) & Initiative \\  & bioespecimen) & & on 10 December 2020 & (ADNI) \\ \hline ABIDE & Neuroimaging data from the Autism Brain & & & http://preprocessed- \\  & Imaging Data Exchange (ABIDE): 112 & Public, require & connectomes-project. & Craddock, C. \\  & datasets from 539 individuals suffering from & registration and & org/abide/ (accessed on 10 December 2020) & [172] \\  & Autism spectrum disorders (ASD) and 573 & & approval & \\  & typical controls. & & & \\ \hline NIF & Neuroscience information framework project: & [[https://neuinfo.org/](https://neuinfo.org/)]([https://neuinfo.org/](https://neuinfo.org/)) & Neuroscience Information \\  & is a semantically-enhanced search engine of & Public & (accessed on 10 December 2020) & Framework \\  & biomedical resources. & & (NIF) \\ \hline NEU & A public repository of unthresholded & & [[https://neurovault.org](https://neurovault.org)]([https://neurovault.org](https://neurovault.org)) & [PERSON] \\  & statistical maps, parcellations, and atlases of & Public & (accessed on 10 December 2020) & et al. (2016) \\  & the brain & & December 2020) & [173] \\ \hline Integrated & A virtual database currently indexing a & Public, require & [[https://scicrunch.org/](https://scicrunch.org/)]([https://scicrunch.org/](https://scicrunch.org/)) & FAIR Data Informatics \\  & Datasets & variety of datasets & registration & /SCR\_010503/resolver & Lab \\  & & & (accessed on 10 December 2020) & University of California, \\  & & & & \\ \hline TCIA & The Cancer Imaging Archive is a repository & & https://www. & Department of Biomedical \\  & with different collections of imaging datasets & Public, require & cancerimagingarchive. & Informatics at \\  & and diseases. & registration & net/collections/ & the University \\  & and diseases. & & (accessed on 10 December 2020) & of Arkansas \\  & & & December 2020) & for Medical \\ \hline NiftyNEt & An open source convolutional neural network & & [[https://niftynet.io](https://niftynet.io)]([https://niftynet.io](https://niftynet.io)) & [PERSON] et al. (2018) [174] \\  & platform for medical image analysis and & Public & (accessed on 10 December 2020) & (2018) \\  & image-guided therapy & & & \\ \hline MONAI & MONAI is a PyTorch-based framework for & & & Project started by NVIDIA \\  & deep learning in healthcare imaging. It & & [[https://monai.io/](https://monai.io/)]([https://monai.io/](https://monai.io/)) & and King’s \\  & provides domain-optimized foundational & & (accessed on 10 & College \\  & capabilities for developing healthcare & & December 2020) & London for the AI \\  & imaging training workflows in a native & & & research community \\  & PyTorch paradigm. & & & \\ \hline MSD & Medical Segmentation Decathlon: A & & & \\  & challenge of machine learning algorithms for & & http:// \\  & segmentation task. Give a data for 10 tasks: & & medicaldecathlon.com & [PERSON] et al. (2019) [175] \\  & brain tumor, cardiac, liver, hippocampus, & & (accessed on 10 December 2020) & [PERSON] et al. (2019) [175] \\  & prostate, lung, pancreas, hepatic vessel, & & December 2020) & \\  & spleen, colon. Modality: MRI and CT & & & \\ \hline \hline \end{tabular}
\end{table} 
Table 4: _Cont._