Documentation
Welcome
Welcome to the HIAS Acute Lymphoblastic Leukemia oneAPI Classifier official documentation.
Introduction
The Acute Lymphoblastic Leukemia (ALL) oneAPI Classifier is an open-source classifier programmed using the Intel® Distribution for Python* and trained using Intel® Optimization for TensorFlow*. The model is deployed on a Raspberry 4 using Intel® Distribution of OpenVINO™ Toolkit and inference is carried out using the Intel® Neural Compute Stick 2 (Intel® NCS2).
DISCLAIMER
This project should be used for research purposes only. The purpose of the project is to show the potential of Artificial Intelligence for medical support systems such as diagnostic systems.
Although the model is accurate and shows good results both on paper and in real world testing, it is trained on a small amount of data and needs to be trained on larger datasets to really evaluate it's accuracy.
Developers that have contributed to this repository have experience in using Artificial Intelligence for detecting certain types of cancer. They are not doctors, medical or cancer experts.
Installation
Use the following installation guides to set up your project.:
Usage
Use the following usage guides to to train your classifier and use your classifier:
Contributing
Asociación de Investigacion en Inteligencia Artificial Para la Leucemia Peter Moss encourages and welcomes code contributions, bug fixes and enhancements from the Github community.
Please read the CONTRIBUTING document for a full guide to forking our repositories and submitting your pull requests. You will also find our code of conduct in the Code of Conduct document.
Contributors
- Adam Milton-Barker - Asociación de Investigacion en Inteligencia Artificial Para la Leucemia Peter Moss President/Founder & Lead Developer, Sabadell, Spain
Versioning
We use SemVer for versioning.
License
This project is licensed under the MIT License - see the LICENSE file for details.
Bugs/Issues
We use the repo issues to track bugs and general requests related to using this project. See CONTRIBUTING for more info on how to submit bugs, feature requests and proposals.