Scancer is a web application that uses computer vision to assist with varying stages of breast cancer detection. At its core is a collection of learnt detection models (in PyTorch) that are served as an API (using TorchServe).
The specific procedures that are used to diagnose breast cancer are depicted in the following graphic, and the ones that would most benefit from computer vision are denoted in purple. The Scancer project aims to collect and use state-of-the-art models for each of these.
You can find currently implemented models by browsing the list of repositories under the Scancer GitHub Organisation.
The documentation in this repository shows you:
- How to use these models for detection
- How to improve on existing models, or contribute new ones
- How to monitor the API in production
Depending on your expertise and your goals, you will find different sections of the documentation more or less relevant. If you are more interested in how this API and model store are setup as part of the entire stack, please refer instead to our server setup scripts.
Copyright (c) 2021 Harish Narayanan and Daniel Hen.
This code is licenced under the MIT Licence. See LICENSE for the full text of this licence.