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acute-lymphoblastic-leukemia

Here are 19 public repositories matching this topic...

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.

  • Updated Jul 22, 2020
  • PHP
all-detection-system-for-magic-leap-1

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.

  • Updated Sep 14, 2021
  • C#

Blood cancer is an uprising issue and doing physical medical procedures is too sensitive and time-consuming to detect any blast cell. Manual testing includes blood tests, spinal fluid tests, bone marrow tests, imaging tests, etc. A solution to this is to use modern methods in health care that help to detect diseases faster and increase the cure …

  • Updated Oct 4, 2022
  • Jupyter Notebook
hias-all-oneapi-classifier

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.

  • Updated Sep 21, 2021
  • Python

This project is an application designed for complete blood cell counting and automated detection of Acute Lymphoblastic Leukemia (ALL) cells. It works by identifying different types of white blood cells, allowing for the extraction of lymphocyte cells. These cells can then be classified as either normal or indicative of ALL

  • Updated Oct 3, 2023
  • Python

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.

  • Updated Sep 19, 2021
  • C#

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