ALL Arduino Nano 33 BLE Sense Classifier

ALL Arduino Nano 33 BLE Sense Classifier

ALL Arduino Nano 33 BLE Sense Classifier on Linkedin

The ALL Arduino Nano 33 BLE Sense Classifier is an experiment to explore how low powered microcontrollers, specifically the Arduino Nano 33 BLE Sense, can be used to detect Acute Lymphoblastic Leukemia. The Arduino Nano 33 BLE Sense is the latest Arduino Board which supports Tensorflow Lite, allowing machine learning on Arduino.

 




Introduction

The ALL Arduino Nano 33 BLE Sense Classifier is an experiment to explore how low powered microcontrollers, specifically the Arduino Nano 33 BLE Sense, can be used to detect Acute Lymphoblastic Leukemia. The Arduino Nano 33 BLE Sense is the latest Arduino Board which supports Tensorflow Lite, allowing machine learning on Arduino.

The motivation for this project was to explore how low powered devices such as Arduino can be used to detect Acute Lymphoblastic Leukemia. The project will be submitted to the Tensorflow For Microcontroller Challenge and the Eyes on Edge: tinyML Vision Challenge.

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 on Arduino:

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.

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.





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