mousemorph | Tools for MRI mouse brain morphometry | Data Labeling library
kandi X-RAY | mousemorph Summary
kandi X-RAY | mousemorph Summary
Tools for MRI mouse brain morphometry. MouseMorph is a modular set of tools for automatically analysing mouse brain MRI scans. It enables fully automatic [Voxel- and Tensor-Based Morphometry][ashb_vbm_2000] (VBM, TBM) on large cohorts of high-resolution images. It is employed at the UCL Centre for Advanced Biomedical Imaging ([CABI][CABI]) for [phenotyping] mice based on in vivo and ex vivo MRI. It has been tested for robustness on hundreds of mouse brain scans. The primary distinction from clinically-focussed tools like [SPM] and [FSL] is a robust set of pre-processing steps, unique to — or with customisations for — the preclinical paradigm (mice and rats): - Identification and extraction of multiple subjects from a single scan image - Orientation to a standard space, from any initial orientation - Mouse brain extraction (skull stripping / brain masking) - Tissue segmentation, using accurate, mouse-specific priors - Group-wise registration.
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Top functions reviewed by kandi - BETA
- Go to the specified location .
- Calculate the convex hull of a binary image .
- Sanitise arguments .
- Crop the image .
- Loop through a list of files .
- Register and compare calibration and reference images .
- Label connected components .
- Scale data volume by a given percentage .
- Check if a csv file exists .
- Corrects the distortion offset .
mousemorph Key Features
mousemorph Examples and Code Snippets
Community Discussions
Trending Discussions on Data Labeling
QUESTION
I'm trying to make a data labeling in a table, and I need to do it in such a way that, in each row, the index is repeated, however, that in each column there is another Enum class.
What I've done so far is make this representation with the same enumerator class.
A solution using the column separately as a list would also be possible. But what would be the best way to resolve this?
...ANSWER
Answered 2021-Dec-30 at 13:57Instead of using Enum
you can use a dict
mapping. You can avoid loops if you flatten your dataframe:
QUESTION
I have a dataframe that contains a column that includes strings separeted with semi-colons and it is followed by a space. But unfortunately in some of the strings there is a semi-colon that is not followed by a space.
In this case, This is what i'd like to do: If there is a space after the semi-colon we do not need a change. However if there are letters before and after the semi-colon, we should change semi-colon with space
i have this:
...ANSWER
Answered 2020-Nov-16 at 07:24Try something like:
QUESTION
Objective: Generate a down-sampled FileDataset using random sampling from a larger FileDataset to be used in a Data Labeling project.
Details: I have a large FileDataset containing millions of images. Each filename contains details about the 'section' it was taken from. A section may contain thousands of images. I want to randomly select a specific number of sections and all the images associated with those sections. Then register the sample as a new dataset.
Please note that the code below is not a direct copy and paste as there are elements such as filepaths and variables that have been renamed for confidentiality reasons.
...ANSWER
Answered 2020-Oct-27 at 22:39Is the data behind virtual network by any chance?
Community Discussions, Code Snippets contain sources that include Stack Exchange Network
Vulnerabilities
No vulnerabilities reported
Install mousemorph
Download, and install, [NiftyReg], and [NiftySeg]. Ensure the executables are on your system path ([Linux](http://www.computerhope.com/issues/ch001647.htm); [Windows](http://www.computerhope.com/issues/ch000549.htm))
You need at least Python 2.7. Try [Anaconda], which includes the required NumPy, SciPy, Pandas, Matplotlib.
You also need [NiBabel]. From a command line, run: pip install nibabel
[Download the MouseMorph repository as a .zip](https://github.com/nmpowell/mousemorph/archive/master.zip), and extract
From the mousemorph directory, run: python setup.py install
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