dosia | Calculate dose in Python
kandi X-RAY | dosia Summary
kandi X-RAY | dosia Summary
dosia is a Python library. dosia has no bugs, it has no vulnerabilities, it has a Weak Copyleft License and it has low support. However dosia build file is not available. You can download it from GitHub.
This package comprises Python bindings for GPUMCD (Hissoiny et al. 2011), dicom parser for CT’s, RTDoses, and RTplans, and a dose computation tool based on the GPUMCD bindings. Note that this means this package won’t work on platforms other than Windows x64, as GPUMCD does not. You also need a CUDA 8 capable card with at minimum 2GB of VMEM. In the design my philosophy is, library first, scripts second, gui third. I am happy to report I can deliver on all fronts at this time :).
This package comprises Python bindings for GPUMCD (Hissoiny et al. 2011), dicom parser for CT’s, RTDoses, and RTplans, and a dose computation tool based on the GPUMCD bindings. Note that this means this package won’t work on platforms other than Windows x64, as GPUMCD does not. You also need a CUDA 8 capable card with at minimum 2GB of VMEM. In the design my philosophy is, library first, scripts second, gui third. I am happy to report I can deliver on all fronts at this time :).
Support
Quality
Security
License
Reuse
Support
dosia has a low active ecosystem.
It has 2 star(s) with 0 fork(s). There are 1 watchers for this library.
It had no major release in the last 6 months.
dosia has no issues reported. There are no pull requests.
It has a neutral sentiment in the developer community.
The latest version of dosia is current.
Quality
dosia has 0 bugs and 0 code smells.
Security
dosia has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.
dosia code analysis shows 0 unresolved vulnerabilities.
There are 0 security hotspots that need review.
License
dosia is licensed under the LGPL-3.0 License. This license is Weak Copyleft.
Weak Copyleft licenses have some restrictions, but you can use them in commercial projects.
Reuse
dosia releases are not available. You will need to build from source code and install.
dosia has no build file. You will be need to create the build yourself to build the component from source.
Installation instructions, examples and code snippets are available.
It has 1952 lines of code, 105 functions and 28 files.
It has medium code complexity. Code complexity directly impacts maintainability of the code.
Top functions reviewed by kandi - BETA
kandi has reviewed dosia and discovered the below as its top functions. This is intended to give you an instant insight into dosia implemented functionality, and help decide if they suit your requirements.
- Initialize object from a DICOM file .
- Decode trf_table_contents_table_contents .
- Build a casedir .
- Return a dict of study ids .
- Run variation on a casedir .
- Decode the TLF header .
- Return a list of possible decoding options .
- Convert values to string .
- Construct a DeliveryGeneric .
- Print the contents of a study
Get all kandi verified functions for this library.
dosia Key Features
No Key Features are available at this moment for dosia.
dosia Examples and Code Snippets
No Code Snippets are available at this moment for dosia.
Community Discussions
No Community Discussions are available at this moment for dosia.Refer to stack overflow page for discussions.
Community Discussions, Code Snippets contain sources that include Stack Exchange Network
Vulnerabilities
No vulnerabilities reported
Install dosia
Right now, you must install the dependencies yourself. git pull or download this repo somewhere, and optionally move the example_dosia_ini_dir (you could have multiple). Then, populate the dll directory in that dosia.ini directory. Put your machinefiles in the machines directory, and make sure dosia.ini points to them (use relative paths). This repo does NOT include GPUMCD, as this is not freely available software. You need to obtain GPUMCD from Elekta, in the form of a file called GPUMonteCarloDoseLibrary.dll, which could be provided to ygiou as part of the Monaco treatment planning software, typically installed to C:\Program Files\CMS\Monaco.
Support
For any new features, suggestions and bugs create an issue on GitHub.
If you have any questions check and ask questions on community page Stack Overflow .
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