.png)
Description:
highdicom 0.22.0
High DICOM
A library that provides high-level DICOM abstractions for the Python programming language to facilitate the creation and handling of DICOM objects for image-derived information, including image annotations, and image analysis results.
It currently provides tools for creating and decoding the following DICOM information object definitions (IODs):
Annotations
Parametric Map images
Segmentation images
Structured Report documents
Secondary Capture images
Key Object Selection documents
Legacy Converted Enhanced CT/PET/MR images (e.g., for single frame to multi-frame conversion)
Softcopy Presentation State instances (including Grayscale, Color, and Pseudo-Color)
Documentation
Please refer to the online documentation at highdicom.readthedocs.io, which includes installation instructions, a user guide with examples, a developer guide, and complete documentation of the application programming interface of the highdicom package.
Citation
For more information about the motivation of the library and the design of highdicom's API, please see the following article:
Highdicom: A Python library for standardized encoding of image annotations and machine learning model outputs in pathology and radiology
C.P. Bridge, C. Gorman, S. Pieper, S.W. Doyle, J.K. Lennerz, J. Kalpathy-Cramer, D.A. Clunie, A.Y. Fedorov, and M.D. Herrmann
If you use highdicom in your research, please cite the above article.
Support
The developers gratefully acknowledge their support:
The Alliance for Digital Pathology
The MGH & BWH Center for Clinical Data Science
Quantitative Image Informatics for Cancer Research (QIICR)
Radiomics
The NCI Imaging Data Commons
License
For personal and professional use. You cannot resell or redistribute these repositories in their original state.
Customer Reviews
There are no reviews.
