AdamMiltonBarker's repositories
Acute-Myeloid-Leukemia-Classifier-2021
A Tensorflow 2 project based on the research outlined in Human-level recognition of blast cells in the Acute myeloid leukemia with convolutional neural networks paper by Christian Matek, Simone Schwarz, Karsten Spiekermann , and Carsten Marr.
GeniSysAI-1
GeniSysAI Natural Language Understanding & Facial Recognition applications for the HIAS network.
ALL-Arduino-Nano-33-BLE-Sense-Classifier
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.
HIAS-Magic-Leap-ALL-Detection-System
A mixed reality classification application and HIAS AI Agent for detecting Acute Lymphoblastic Leukemia in unseen images.
Acute-Lymphoblastic-Leukemia-Classifier-2020
An Acute Lymphoblastic Leukemia classifier trained using Intel Distribution for Python and Intel Optimized Tensorflow (Tensorflow 2.1), and using OpenVINO to deploy the model on UP2 & Raspberry Pi.
ALL-C-NMC-2021
A series of Acute Lymphoblastic Leukemia CNNs trained with the C-NMC Dataset by University of Arkansas for Medical Sciences (UAMS). The projects are programmed in Python using various frameworks.
ALL-Tensorflow-Segmentation-2021
Acute Lymphoblastic Leukemia classification using segmentation and the Acute Lymphoblastic Leukemia Image Database for Image Processing dataset. Programmed in Python using Tensrflow.
AML-ALL-Drug-Discovery
Open-source drug discovery for Acute Myeloid & Acute Lymphoblastic Leukemia.
AML-Genomics-2021
An Acute Myeloid Leukemia diagnostics project based on the research outlined in Scalable Prediction of Acute Myeloid Leukemia Using High-Dimensional Machine Learning and Blood Transcriptomics by Stefanie WarnatHerresthal, Konstantinos Perrakis, Bernd Taschler, Torsten Haferlach, Sach Mukherjee & Joachim L. Schultze.
Contributing-Guide
The contributing guide provides instructions on how to contribute to the Peter Moss Acute Myeloid and Lymphoblastic Leukemia AI Research Project.
FIWARE-HIASCDI
The official FIWARE Python Context Broker
fiware-orion
An implementation of the Publish/Subscribe Context Broker GE, providing NGSI interfaces.
GPT-3-Leukemia-Information-Assistant
A HIAS connected AI assistant based on GPT-3, capable of providing information based on Leukemia. This application is a proof of concept and should not be used for medical advise
HIAS-AMQP-IoT-Agent
The HIAS AMQP IoT Agent is a bridge between HIAS devices that support the AMQP protocol and the HIASCDI Context Broker.
HIAS-Android-Zone-Assistant
Android application for HIAS Zones. Provides a communication channel for communicating with GeniSysAI.
HIAS-Bluetooth-Triangulation-Agent
HIAS Bluetooth Triangulation Agents help to identify authorized and unauthorized users within a HIAS Zone.
HIAS-Miner
An Ethereum Miner Node for the HIAS Blockchain. Helps mine blocks and lighten the load of the main HIAS Blockchain Node.
HIAS-Network-IoT-Light
An IoT light designed to be used with the HIAS Network.
HIAS-Network-IoT-Temperature-Device
An IoT light temperature/humidity sensor device designed to be used with the HIAS Network.
HIAS-Staff-Android
Android application for HIAS staff users.
Leukemia-In-Mixed-Reality
A free information application for Magic Leap 1 providing basic information in Mixed Reality about Leukemia, Haemopoiesis, Acute Myeloid & Lymphoblastic Leukemia
Magic-Leap-1-ALL-Detection-System-2020
Acute Lymphoblastic Leukemia Detection System 2020 uses Tensorflow 2 & Magic Leap to provide a mixed reality detection system. Project by Adam Milton-Barker.
SARS-CoV-2-xDNN-Classifier
An implementation of a HIAS compatible xDNN classifier by Nitin Mane. Inspired by SARS-CoV-2 CT-scan dataset: A large dataset of real patients CT scans for SARS-CoV-2 identification by Eduardo Soares, Plamen Angelov, Sarah Biaso, Michele Higa Froes, Daniel Kanda Abe.
Student-Program-2022
The official repository for the 2021 Peter Moss Leukemia AI Research Student Program.
UDMRS-HIAS-Plugin
The UDMRS HIAS plugin allows medical organizations to connect to the UDMRS Blockchain and manage their patients' data and prescriptions.
UDMRS-Miner
The UDMRS Miner is a miner node that allows medical organizations to contribute to the distribution of the UDMRS Blockchain.
UDMRS-Patients
The UDMRS Patients application is an open-source Android Application that let's patients manage their medical records and prescriptions.