leukaemiamedtech Goto Github PK
Name: Peter Moss Leukaemia MedTech Research
Type: Organization
Bio: We are creating an open source movement for leukaemia & medical technologies.
Twitter: LeukMedTech
Location: United Kingdom
Name: Peter Moss Leukaemia MedTech Research
Type: Organization
Bio: We are creating an open source movement for leukaemia & medical technologies.
Twitter: LeukMedTech
Location: United Kingdom
Combines Magic Leap's Spacial Computing technologies with Intel's oneAPI, OpenVINO & Neural Compute Stick to provide real-time classification of Acute Lymphoblastic Leukemia Lymphoblasts in peripheral blood samples within a Mixed Reality environment.
Combines Oculus Rift's Virtual Reality technologies with Intel's oneAPI, OpenVINO & Neural Compute Stick to provide real-time classification of Acute Lymphoblastic Leukemia Lymphoblasts in peripheral blood samples within a Virtual Reality environment.
Classifiers created with Tensorflow 2 and using Fabio Scotti's ALL-IDB (Acute Lymphoblastic Leukemia Image Database for Image Processing) dataset.
A repository containing all project type specific contributing guides for project contributors to follow.
EMAR Mini is an open-source Emergency Assistance Robot protptype. The project is a proof of concept designed to assist doctors, nurses and hospital staff during the situations similar to the COVID-19 pandemic that we may face in the future.
The official FIWARE Python NGSI V2 Context Broker. Developed by Asociación de Investigacion en Inteligencia Artificial Para la Leucemia Peter Moss.
GeniSysAI Leukemia Information and Support Assistant is a Natural Language Understanding Engine trained by medical professionals and capable of providing information and support related to Leukemia.
A HIAS connected AI assistant based on GPT-3, capable of providing information based on Leukemia. This project is a proof of concept and should not be used for medical advice
A HIAS compatible Acute Lymphoblastic Leukaemia classifier developed for the NVIDIA Jetson Nano.
A HIAS compatible Acute Lymphoblastic Leukemia classifier trained using Intel Distribution for Python and Intel Optimized Tensorflow. Uses OpenVINO to deploy the model to a Raspberry Pi and Neural Compute Stick 2 for inference on the edge.
The HIAS AMQP IoT Agent is based on FIWARE IoT Agents and bridges between HIAS devices that support the AMQP protocol and the HIASCDI Context Broker.
Android application for Hospital Intelligent Automation System (HIAS) staff users. This application allows communication with the HIAS GeniSysAI Natural Language Understanding Engines.
Android application for HIAS Zones. Provides a communication channel for communicating with GeniSysAI.
HIAS Core is an open-source server for hospitals and medical centers, designed to control and manage a network of intelligent IoT connected devices and applications.
A HIAS connected ESP32 environment monitor providing temperature, humidity, light and gas readings.
A HIAS BLE server hosted on an ESP32 that provides readings from an PIR sensor.
A HIAS BLE server hosted on an ESP32 that provides readings from an utrasonic sensor.
A HIAS door or window sensor using an ESP8266 and a reed switch.
A HIAS AI Agent for Natural Language Understanding, capable of interacting with HIAS network devices and applications.
HIAS IR MQTT IoT Agents are bridges between HIAS devices that support Infrared and the HIASCDI Context Broker.
A HIAS compatible Brain Computer Interface application using Mindwave technologies to detect meditation state, attention, highAlpha, lowAlpha, lowBeta, highBeta, lowGamma and midGamma waves.
The HIAS BLE IoT Agent is a BLE client that bridges HIAS BLE Devices, HIASCDI Context Broker & HIASHDI Historical Broker
The HIAS MQTT IoT Agent is based on FIWARE IoT Agents and bridges between HIAS devices that support the MQTT protocol, HIASCDI Context Broker, and HIASHDI Historical Broker.
An IoT connected NFC reader for authenticating actions on the HIAS network. Designed for the PN532 RFID/NFC Reader/Writer using Raspberry Pi 2B and above,
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.
HIAS Serial MQTT IoT Agents are bridges between HIAS devices that have no connectivity modules and the HIASCDI Context Broker.
HIAS TassAI Facial Recognition Agent processes streams from local or remote cameras to identify known and unknown humans.
HIASBCH is a dedicated Ethereum Blockchain providing authentication & data integrity functionality to the HIAS Network. HIASBCH is being developed as an implementation of the EBSI Blockchain and to align with European values and regulations.
An Ethereum Miner Node for the HIAS Blockchain. Helps mine blocks and lighten the load of the main HIAS Blockchain Node.
A declarative, efficient, and flexible JavaScript library for building user interfaces.
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google ❤️ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.