TOOLS FOR MANUAL 3D MEDICAL IMAGE SEGMENTATION AND DATA PREPROCESSING FOR AUTOMATIC 3D MEDICAL IMAGE SEGMENTATION

Authors

  • X.N.Zayniddinov,R.M.Normatov,B.R. Azimov,S.A. Gafurov Tashkent University of Information Technologies named after Muhammad al-Khwarizmi (TUIT). Author

Keywords:

NIfTI, DICOM, ITK-Snap, 3D Slicer, nibabel, Segmentation

Abstract

This paper shows the useful tools for 3D medical image preparation and semi-automatic segmentation, moreover, some python code examples are shown for data preprocessing. ITK-Snap and 3D Slicer became useful tools for above problems. The result show that, usage of both tools decreases research time and highly effective.

References

" https://en.wikipedia.org/wiki/DICOM ".

"https://encord.com/blog/dicom-and-nifti-comparison/"

"http://www.itksnap.org/pmwiki/pmwiki.php"

"https://www.slicer.org/"

"https://drive.google.com/file/d/1Er-WmNgv3OO4ZK5QFHD0StaeWW7-EQho/view?usp=sharing"

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Published

2024-04-18

Issue

Vol. 5 No. 1 (2024): International journal of scientific researchers

Section

Articles