All Projects → Tesseract-MI → prostatecancer.ai

Tesseract-MI / prostatecancer.ai

Licence: MIT License
prostatecancer.ai is an AI-based, zero-footprint medical image viewer that can identify clinically significant prostate cancer.

Programming Languages

javascript
184084 projects - #8 most used programming language
HTML
75241 projects
CSS
56736 projects
python
139335 projects - #7 most used programming language
shell
77523 projects
Batchfile
5799 projects

Projects that are alternatives of or similar to prostatecancer.ai

dicomweb-pacs
Easy to use DICOMWEB enabled PACS with DIMSE services based on sqlite database
Stars: ✭ 42 (+5%)
Mutual labels:  ohif
prostateMR 3D-CAD-csPCa
Hierarchical probabilistic 3D U-Net, with attention mechanisms (—𝘈𝘵𝘵𝘦𝘯𝘵𝘪𝘰𝘯 𝘜-𝘕𝘦𝘵, 𝘚𝘌𝘙𝘦𝘴𝘕𝘦𝘵) and a nested decoder structure with deep supervision (—𝘜𝘕𝘦𝘵++). Built in TensorFlow 2.5. Configured for voxel-level clinically significant prostate cancer detection in multi-channel 3D bpMRI scans.
Stars: ✭ 32 (-20%)
Mutual labels:  prostate-cancer
Cornerstone
JavaScript library to display interactive medical images including but not limited to DICOM
Stars: ✭ 1,690 (+4125%)
Mutual labels:  cornerstone
DicomViewer
Dicom images viewer, built special for medical online testing platform
Stars: ✭ 13 (-67.5%)
Mutual labels:  cornerstone
rocket viewer
This simple and generic viewer allows you to visualize different kinds of data such as medical and biological images, 3D surfaces, electric signals (ECGs) and documents.
Stars: ✭ 22 (-45%)
Mutual labels:  cornerstone

prostatecancer.ai MIT License

prostatecancer.ai is an OHIF-based, zero-footprint DICOMweb medical image viewer that utilizes artificial intelligence technologies to identify clinically significant prostate cancer.

Read The Docs | Demo | Roadmap

Introduction

Advances in machine learning and deep learning have made it possible to embed the knowledge of experienced physician/radiologist into computational models and have shown state-of-the art performance in various image analysis tasks including computer-assisted detection, diagnosis, and prognosis of several forms of cancers including prostate cancer. However, models are not fully integrated with the current standard of care in clinic. We have developed prostatecancer.ai which enables deployment of AI models in a web-browser while simultaneously providing standard image viewing and reporting schemes.

If you're interested in using prostatecancer.ai, but you're not sure it supports your use case check out our docs. Still not sure, or you would like to propose new features? Don't hesitate to create an issue or open a pull request.

Getting Started

This readme is specific to testing and developing locally. If you're more interested in production deployment strategies, you can check out our documentation on publishing.

Want to play around before you dig in? Check out our LIVE Demo

📏 Setup

Requirements:

Steps:

  1. Fork this repository
  2. Clone your forked repository (your origin)
  1. Add Tesseract-MI/prostatecancer.ai as a remote repository (the upstream)

💻 Developing Locally

In your cloned repository's root folder, run:

  1. Restore dependencies:

    • meteor npm install
  2. Set up local server to host prostatecancer.ai:

    • for orthanc run: METEOR_PACKAGE_DIRS="packages" meteor --settings config/orthancDICOMWeb.json
    • for dcm4chee run: METEOR_PACKAGE_DIRS="packages" meteor --settings config/dcm4cheeDICOMWeb.json

🐛 Bugs

Please file an issue for bugs, missing documentation, or unexpected behavior.

See Bugs

💡 Feature Requests

Please file an issue to suggest new features. Vote on feature requests by adding a 👍. This helps maintainers prioritize what to work on.

See Feature Requests

Questions

For questions related to using the app, please visit our support community, or file an issue on GitHub.

See Questions

🔜 Roadmap

If you want to know what's planned for the very near future, check out our roadmap. The best way to influence when and what is worked on is to contribute to the conversation by creating GitHub issues, and contributing code through pull requests. Our high level priorities for the near future are:

More granular information will make its way to the backlog as these items become scoped for development by core maintainers.

Don't hesitate to ask questions, propose features, or create pull requests. We're here, we're listening, and we're always ready to make prostatecancer.ai the best AI-based medical image viewer in the world 🌎

🔒 License

MIT © prostatecancer.ai

Note that the project description data, including the texts, logos, images, and/or trademarks, for each open source project belongs to its rightful owner. If you wish to add or remove any projects, please contact us at [email protected].