Omkar2118/datasets huggingface dataset:
MTNeuro

**MTNeuro** is a multi-task neuroimaging benchmark built on volumetric, micrometer-resolution X-ray microtomography images spanning a large thalamocortical section of mouse brain, encompassing multiple cortical and subcortical regions.

This dataset provides some key features for the neuroinformatics processing community:

- Three Dimensional Multi-Scale Annotated Dataset: The 3D x-ray microtomography dataset spans multiple brain areas and includes region of interest (ROI) annotations, densely annotated 3D cutouts, and semantic interpretable features.

- Multi-Level Benchmark Tasks: Benchmark tasks feature both microscopic and macroscopic classification objectives.

- Evaluation of Model Baselines: Both 2D and 3D training regimes are considered when training supervised and unsupervised models.

The data are derived from a unique 3D X-ray microtomography dataset covering areas of mouse cortex and thalamus. At 1.17um isotropic resolution for each voxel, both microsctructure (blood vessels, cell bodies, white matter) and macrostructure labels are available.

Source: [MTNeuro: A Benchmark for Evaluating Representations of Brain Structure Across Multiple Levels of Abstraction](https://arxiv.org/pdf/2301.00345v1.pdf)

Image Source: [https://github.com/mtneuro/mtneuro](https://github.com/mtneuro/mtneuro)

Introducing paper: MTNeuro: A Benchmark for Evaluating Representations of Brain Structure Across Multiple Levels of Abstraction