AMLResearchProject/ALL-Detection-System-For-Oculus-Rift AMLResearchProject/ALL-Detection-System-For-Oculus-Rift

  • Stars
    star
    6
  • Rank 2,539,965 (Top 51 %)
  • Language
    Jupyter Notebook
  • License
    MIT License
  • Created over 4 years ago
  • Updated over 4 years ago
Twitter logo Share LinkedIn logo Share Facebook logo Share
AMLResearchProject/ALL-Detection-System-For-Oculus-Rift
github

AMLResearchProject

Reviews

There are no reviews yet. Be the first to send feedback to the community and the maintainers!

Repository Details

Acute Lymphoblastic Leukemia Detection System 2020 uses Tensorflow 2 & Oculus Rift to provide a virtual detection system. Project by Adam Milton-Barker.

More Repositories

1

all-classifiers-2019

A collection of computer vision projects for Acute Lymphoblastic Leukemia classification/early detection.
Jupyter Notebook
30
star
2

all-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. Project by Adam Milton-Barker.
PHP
9
star
3

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.
C++
9
star
4

AML-ALL-Research-Archive

A repository dedicated to sharing the AML/ALL related public information, papers, code and datasets that we come across through R&D.
7
star
5

all-jetson-nano-classifier

An Acute Lymphoblastic Leukemia classifier developed for the NVIDIA Jetson Nano. Jetson AI Certification project by Adam Milton-Barker.
Jupyter Notebook
6
star
6

all-oneapi-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.
Python
6
star
7

ALL-Tensorflow-Classifier-2020

An Acute Lymphoblastic Leukemia CNN based on the proposed architecture in the Acute Leukemia Classification Using Convolution Neural Network In Clinical Decision Support System paper, using the Acute Lymphoblastic Leukemia Image Database for Image Processing dataset. Project by Adam Milton-Barker.
Jupyter Notebook
5
star
8

all-fastai-2019

A series of Acute Lymphoblastic Leukemia CNNs programmed in Python using FastAI. Project by team member Salvatore Raieli.
Jupyter Notebook
4
star
9

aml-classifier-2021

Inspired by Human-level recognition of blast cells in acute myeloid leukemia with convolutional neural networks by Matek, C., Schwarz, S, Spiekermann, K., Marr, C. CapsNets. Project by Adam Milton-Barker
Python
3
star
10

ALL-PyTorch-Segmentation-2021

Acute Lymphoblastic Leukemia classification using segmentation and the Acute Lymphoblastic Leukemia Image Database for Image Processing dataset. Programmed in Python using PyTorch.
Python
3
star
11

all-fastai-2020

A series of Acute Lymphoblastic Leukemia CNNs programmed in Python using FastAI. Project by team member Salvatore Raieli.
Jupyter Notebook
3
star
12

contributing-guide

The contributing guide provides instructions on how to contribute to the Peter Moss Acute Myeloid and Lymphoblastic Leukemia AI Research Project.
2
star
13

all-detection-system-for-magic-leap-1

Acute Lymphoblastic Leukemia Detection System 2020 uses Tensorflow 2 & Magic Leap to provide a mixed reality detection system. Project by Adam Milton-Barker.
C#
2
star
14

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.
Python
1
star