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Segmentation and NRRD Conversion Library

This library allows you to create segmentation masks and NRRD images from original DICOM files.

Here are the images that are processed as input:

Note. For privacy reasons, I cannot publicly post the original file titles (they have been truncated). Therefore, in some test images, the image and mask sizes may not exactly match.

Examples

us = UltrasoundSegmentation(input_path="test")
us.dicom2nrrdImage()

This code will save your converted image No. 1 in nrrd format in the directory where you are working

us = UltrasoundSegmentation(input_path="test")
us.us.dicom2nrrdMask()

This code will create a mask for image No. 2 and save it in the working directory

Release files for segmentUSD 0.1.1

For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.

Source distribution (sdist)

Source distribution for segmentUSD 0.1.1
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segmentusd-0.1.1.tar.gz 3.8 kB Details

Built distribution (wheel)

Table of built distributions (wheels) for segmentUSD 0.1.1
File Interpreter ABI Platform
segmentUSD-0.1.1-py3-none-any.whl Python 3 none any Details

Total release size: 7.8 kB

Release files / segmentusd-0.1.1.tar.gz

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Release files / segmentUSD-0.1.1-py3-none-any.whl

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Size 4.0 kB
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Uploaded via twine/6.1.0 CPython/3.12.8

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0.1.1 This release

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0.1.0

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