five

MOESM1 of Semiautomatic segmentation of the kidney in magnetic resonance images using unimodal thresholding

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DataCite Commons2024-12-17 更新2024-07-25 收录
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https://springernature.figshare.com/articles/dataset/MOESM1_of_Semiautomatic_segmentation_of_the_kidney_in_magnetic_resonance_images_using_unimodal_thresholding/4440905/1
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资源简介:
Additional file 1. unimodcode.zip: a zipped folder containing the following files: unimodscript.py: the central script for the unimodal thresholding approach, l03threshSTD.py: the monomodal thresholding algorithm function, l02shrink.py: a function to remove most of the whitespace from a masked volume, detect_peaks.py: the peak detection function by Marcos Duarte, also available at https://github.com/demotu/BMC/blob/master/functions/detect_peaks.py , example.nii.gz: an anonymized abdominal MRI in NIfTI format, example_left_kidney_preseg.nii.gz: a manual pre-segmentation of the left kidney of the example MRI, done with the Multi-image Analysis GUI (MANGO), available at http://ric.uthscsa.edu/mango/ , example_right_kidney_preseg.nii.gz: a manual pre-segmentation of the right kidney of the example MRI, done with the Multi-image Analysis GUI (MANGO), available at http://ric.uthscsa.edu/mango/ , LICENSE.txt: the MIT license text, readme.txt: description of the included files, list of dependencies, instructions for installation and use.
提供机构:
Figshare
创建时间:
2017-12-19
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