Algorithm created with Python to semi-automatically segment various depots of fat based on a Dixon sequence abdominal MRI scan. Anatomical landmarks of the MRI scan must be manually identified.
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Updated
Oct 2, 2019 - Python
Algorithm created with Python to semi-automatically segment various depots of fat based on a Dixon sequence abdominal MRI scan. Anatomical landmarks of the MRI scan must be manually identified.
semantic segmentation for magnetic resonance imaging
Python pipelines for analysis of adipocyte scRNA-seq data
A simple toolbox of ImageJ plugins for quantifying adipocyte morphology and function in tissues and in vitro.
Python & R scripts collection for AdipoAtlas project
This program will take in MRI images in the NIFTI format and display them on the screen. The user will draw a closed contour around specified areas of fat at multiple axial slices. These results are saved in a file to be validated with the VisceralFatSegmentation program. This program is created using Qt and C++.
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meta-analysis of new and published human WAT single cell data
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