Open-Source Code

In this database you will find an archive of open-source code that can be used for medical research such as Leukemia, other blood/bone marrow cancers & COVID-19 detection.

There is a lot of open-source code out there that can be of used for medical purposes such as Leukemia, other blood/bone marrow cancers & COVID-19 detection.

In this database you will find an archive of open-source code that can be used for medical research.

If you have information you would like to share in this database, please feel free to email us via our contact page with details.

DISCLAIMER: Medical code provided in this database should be used for research purposes only. It is not meant to be an alternative to seeking professional medical help.



eXplainable by design approach for COVID-19 classification via CT Scan

eXplainable by design approach for COVID-19 classification via CT Scan

An eXplainable Deep Learning approach (xDNN) for detecting COVID-19 which could achieve an F1 score of 0.9731 which is very promising. By our partners at Lancaster University, PlamenLancaster.

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Acute Lymphoblastic Leukemia Tensorflow CNN 2020

Acute Lymphoblastic Leukemia Tensorflow CNN 2020

In this project we will create a network based on the proposed architecture in the Acute Leukemia Classification Using Convolution Neural Network In Clinical Decision Support System paper, built using Tensorflow 2.

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Magic Leap 1 COVID-19 Detection System

Magic Leap 1 COVID-19 Detection System

The Magic Leap 1 COVID-19 Detection System 2020 uses Tensorflow 2, Raspberry Pi 4 & Magic Leap 1 to provide a spatial computing detection system.

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COVID-19 Tensorflow DenseNet Classifier

COVID-19 Tensorflow DenseNet Classifier

This project provides the source codes and tutorial for creating a Convolutional Neural Network for detecting COVID-19 in CT-Scans.

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EMAR (Emergency Assistance Robot) Mini

EMAR (Emergency Assistance Robot) Mini

EMAR Mini is a miniature version of EMAR, an open-source Emergency Robot Assistant to assist doctors, nurses and hospital staff during the COVID-19 pandemic, and similar situations we may face in the future.

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COVID-19 AI Classification

COVID-19 AI Classification

Open source Artificial Intelligence for COVID-19 detection/early detection. Includes Convolutional Neural Networks (CNN) & Generative Adversarial Networks (GAN)

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COVID-19 AI Data Analysis

COVID-19 AI Data Analysis

This repository will provide several projects created by our data scientists. Projects will include installation scripts, documentation and code for AI algorithms built for understanding COVID-19.

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HIAS - Hospital Intelligent Automation System

HIAS - Hospital Intelligent Automation System

The Peter Moss Leukemia AI Research HIAS Network is an open-source Hospital Intelligent Automation System. The system's server powers an intelligent network using a locally hosted, encrypted IoT server and proxy.

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Acute Lymphoblastic Leukemia Papers Evaluation Part 2 Tensorflow 2.0

Acute Lymphoblastic Leukemia Papers Evaluation Part 2 Tensorflow 2.0

Here we will train the network we created in part 1, using the augmented dataset proposed in the Leukemia Blood Cell Image Classification Using Convolutional Neural Network paper by T. T. P. Thanh, Caleb Vununu, Sukhrob Atoev, Suk-Hwan Lee, and Ki-Ryong Kwon. Author: Adam Milton-Barker.

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Acute Lymphoblastic Leukemia Papers Evaluation Part 1 Tensorflow 2.0

Acute Lymphoblastic Leukemia Papers Evaluation Part 1 Tensorflow 2.0

Here we will replicate the network architecture and data split proposed in the Acute Leukemia Classification Using Convolution Neural Network In Clinical Decision Support System paper and compare our results. In the paper, the authors do not go into the evaluation of the model, however, in this project we will go deeper into how well the model actually does. Author: Adam Milton-Barker.

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Acute Lymphoblastic Detection System 2019 Data Augmentation

Acute Lymphoblastic Detection System 2019 Data Augmentation

The ALL Detection System 2019 Data Augmentation program applies augmentations/filters to datasets and increases the amount of training/test data available to use. The program is part of the computer vision research and development for the Peter Moss Acute Myeloid & Lymphoblastic Leukemia AI Research Project.

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Acute Lymphoblastic Leukemia Detection System 2019

Acute Lymphoblastic Leukemia Detection System 2019

Intel DevMesh AI Spotlight Award winner. Acute Lymphoblastic Leukemia Detection System 2019 uses Tensorflow 1.4.1 & Neural Compute Stick 1 to provide an intelligent network and diagnosis system.

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Acute Lymphoblastic Leukemia Classifiers 2019

Acute Lymphoblastic Leukemia Classifiers 2019

A collection of computer vision projects for Acute Lymphoblastic Leukemia classification/early detection.

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Acute Lymphoblastic Leukemia Fast AI 2019

Acute Lymphoblastic Leukemia Fast AI 2019

A series of Acute Lymphoblastic Leukemia CNNs programmed in Python using FastAI. Project by team member Salvatore Raieli.

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ALL FastAI Resnet 50 Classifier

ALL FastAI Resnet 50 Classifier

The ALL FastAI Resnet 50 Classifier was created by Salvatore Raieli. The project provides a Google Colab notebook that uses FastAI with Resnet34 and ALL_IDB2 from the Acute Lymphoblastic Leukemia Image Database for Image Processing dataset.

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ALL FastAI Resnet 34 Classifier

ALL FastAI Resnet 34 Classifier

The ALL FastAI Resnet 34 Classifier was created by Salvatore Raieli. The project provides a Google Colab notebook that uses FastAI with Resnet34 and ALL_IDB2 from the Acute Lymphoblastic Leukemia Image Database for Image Processing dataset.

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ALL FastAI Resnet 18 Classifier

ALL FastAI Resnet 18 Classifier

The ALL FastAI Resnet 18 Classifier was created by Adam Milton-Barker based on Salvatore Raieli's Resnet50 project. The classifier provides a Google Colab notebook that uses FastAI with Resnet18 and ALL_IDB2 from the Acute Lymphoblastic Leukemia Image Database for Image Processing dataset.

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Quantised Code

Quantised Code

This notebook explores a novel convolutional network architecture as discussed in the following research paper to build a classification system for better assistance in diagnosing Acute Lymphoblastic Leukemia in blood cells.

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Organic

Organic

ORGANIC (Objective-Reinforced Generative Adversarial Network for Inverse-design Chemistry) is an efficient molecular generation tool, able to create molecules with desired properties.

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Albumentations

Albumentations

Fast image augmentation library and easy to use wrapper around other libraries

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Augmentor

Augmentor

Image augmentation library in Python for machine learning.

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Leukemia AI Research

De Asociacion De Investigation En Intelligencia Artificial Para La Leucemia Peter Moss is a non profit research association dedicated to researching into the Artificial Intelligence and other modern technologies, and how they can be used in the fight against Leukemia and other blood cancers.

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