concept-to-clinic | ALCF Concept to Clinic Challenge
kandi X-RAY | concept-to-clinic Summary
kandi X-RAY | concept-to-clinic Summary
concept-to-clinic is a Python library. concept-to-clinic has no vulnerabilities, it has build file available and it has low support. However concept-to-clinic has 18 bugs and it has a Non-SPDX License. You can download it from GitHub.
There are great cash and swag prizes for participation and helping the community! Learn more on the prizes page.
There are great cash and swag prizes for participation and helping the community! Learn more on the prizes page.
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Quality
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concept-to-clinic has a low active ecosystem.
It has 368 star(s) with 153 fork(s). There are 54 watchers for this library.
It had no major release in the last 6 months.
There are 25 open issues and 138 have been closed. On average issues are closed in 22 days. There are 11 open pull requests and 0 closed requests.
It has a neutral sentiment in the developer community.
The latest version of concept-to-clinic is current.
Quality
concept-to-clinic has 18 bugs (1 blocker, 0 critical, 4 major, 13 minor) and 154 code smells.
Security
concept-to-clinic has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.
concept-to-clinic code analysis shows 0 unresolved vulnerabilities.
There are 1 security hotspots that need review.
License
concept-to-clinic has a Non-SPDX License.
Non-SPDX licenses can be open source with a non SPDX compliant license, or non open source licenses, and you need to review them closely before use.
Reuse
concept-to-clinic releases are not available. You will need to build from source code and install.
Build file is available. You can build the component from source.
Installation instructions are available. Examples and code snippets are not available.
concept-to-clinic saves you 47921 person hours of effort in developing the same functionality from scratch.
It has 55991 lines of code, 364 functions and 164 files.
It has medium code complexity. Code complexity directly impacts maintainability of the code.
Top functions reviewed by kandi - BETA
kandi has reviewed concept-to-clinic and discovered the below as its top functions. This is intended to give you an instant insight into concept-to-clinic implemented functionality, and help decide if they suit your requirements.
- Predict for a given image
- Convert coordinate coordinates to voxel
- Extract patches from a ct_array
- Split data into multiple sides
- Crops an array of centroids
- Compute competition performance
- Compute bootstrap thresholds
- Collect all nodules
- Compute the ROC curve
- Create a Flask app
- Convolution layer
- Generate rotation matrix
- Train the model
- Generate a random zoom
- Evaluate classification
- Load boxes from osiriX files
- Filter detections
- Randomly shift an image
- Create a random shear
- Get a list of detection results
- Run a prediction for a patient
- Evaluate segmentation
- Fit the model
- Prepare training data
- Train model
- Return a list of source directories
- Splits the data
Get all kandi verified functions for this library.
concept-to-clinic Key Features
No Key Features are available at this moment for concept-to-clinic.
concept-to-clinic Examples and Code Snippets
No Code Snippets are available at this moment for concept-to-clinic.
Community Discussions
No Community Discussions are available at this moment for concept-to-clinic.Refer to stack overflow page for discussions.
Community Discussions, Code Snippets contain sources that include Stack Exchange Network
Vulnerabilities
No vulnerabilities reported
Install concept-to-clinic
If you need any help, jump into the forums and ask away!.
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Find an open issue you're interested in working on
Get your local environment running with the instructions for setting up Docker
Read Concept to Clinic’s documentation
Submit your pull request to the GitHub repo
Sign up for the challenge
Find an open issue you're interested in working on
Get your local environment running with the instructions for setting up Docker
Read Concept to Clinic’s documentation
Submit your pull request to the GitHub repo
Support
This project is about building a community that is working together towards a shared goal. We've got a code of conduct that we expect participants to respect, but it really boils down to:.
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