https://github.com/th-blitz/dcm-data-pipeline

DCM Data Pipeline to convert CT & PET scans from .dcm files to .pickle.gzip npy data, for faster access and lossless compression.
https://github.com/th-blitz/dcm-data-pipeline

dicom-files fusion gzip-compression registration

Last synced: 1 day ago
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DCM Data Pipeline to convert CT & PET scans from .dcm files to .pickle.gzip npy data, for faster access and lossless compression.

• Host: GitHub
• URL: https://github.com/th-blitz/dcm-data-pipeline
• Owner: th-blitz
• License: mit
• Created: 2022-05-28T07:12:27.000Z (over 2 years ago)
• Default Branch: main
• Last Pushed: 2022-10-17T10:38:13.000Z (about 2 years ago)
• Last Synced: 2024-11-08T19:12:40.252Z (about 2 months ago)
• Topics: dicom-files, fusion, gzip-compression, registration
• Language: Jupyter Notebook
• Homepage:
• Size: 4.6 MB
• Stars: 0
• Watchers: 2
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md
  • License: LICENSE

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README

        
# DCM-Data-PipeLine

- As my ```final year``` project designed and implemented an algorithm to enhance the visibility of ```Liver tumor metabolism```.

- Curated datasets of over ```50``` patients collected from two cancer institutes in collaboration with our college.

- Built the ```dcm-data-pipeline``` to store and pre-process DICOM datasets.

## Credits & References

- matlab's procrustes function by @ashna111 https://github.com/ashna111/multimodal-image-fusion-to-detect-brain-tumors