epicalyx / AML-Classifiers

Research and development projects for detection/early detection of Acute Myeloid Leukemia.

Home Page:https://www.facebook.com/AMLResearchProject

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AML Classifier Projects

Peter Moss AML Classifier Projects

This area of the Peter Moss AML (Acute Myeloid Leukemia) AI Research Project focuses on research and development projects for detection/early detection of Acute Myeloid Leukemia.

The AML Research Project is being organized and developed by a team of volunteers with experience in Leukemia research, computer vision, biochemistry & molecular biophysics among other areas of expertise. The team is currently made up of:

Team Member Position
Adam Milton-Barker Bigfinite IoT Network Engineer & Intel Software Innovator
Ho Leung Ng Kansas State University, Dept. Biochemistry & Molecular Biophysics
John LaRocco Former Humai Head of Engineering, LA, USA
Amita Kapoor Associate Professor @ Delhi University, New Dehli, India

Repo Projects

Below you will find a list of projects that are part of this repo:

Project Description
CPP Classifiers programmed in C++
Java Classifiers programmed in Java
Python Classifiers programmed in Python

Python Projects

Below you will find a list of Python projects that are part of this repo:

Project Description
Python Caffe Classifiers programmed with Caffe in Python
Python Movidius Classifiers programmed for Movidius in Python
Python OpenVino Classifiers programmed with OpenVino in Python
Python Tensorflow Classifiers programmed with Tensorflow in Python
Python Keras Classifiers programmed with Keras in Python
Python Data Augmentation A Python program for applying filters to the original dataset and increasing the amount of training / test data.

Research papers followed

Research papers used in this part of the project were shared by project team member, Ho Leung Ng, Associate Professor of Biochemistry & Molecular Biophysics at Kansas State University.

Project Paper Description Link
Python Data Augmentation Leukemia Blood Cell Image Classification Using Convolutional Neural Network T. T. P. Thanh, Caleb Vununu, Sukhrob Atoev, Suk-Hwan Lee, and Ki-Ryong Kwon Paper

Datasets

The Acute Lymphoblastic Leukemia Image Database for Image Processing dataset is used for this project. The dataset was created by Fabio Scotti, Associate Professor Dipartimento di Informatica, Università degli Studi di Milano. Big thanks to Fabio for his research and time put in to creating the dataset and documentation, it is one of his personal projects. You will need to follow the steps outlined here to gain access to the dataset.

Dataset Description Link
Acute Lymphoblastic Leukemia Image Database for Image Processing Created by Fabio Scotti, Associate Professor Dipartimento di Informatica, Università degli Studi di Milano. Dataset

Contributing

We welcome contributions of the project. Please read CONTRIBUTING.md for details on our code of conduct, and the process for submitting pull requests.

Versioning

We use SemVer for versioning. For the versions available, see Releases.

License

This project is licensed under the MIT License - see the LICENSE file for details.

Bugs/Issues

We use the repo issues to track bugs and general requests related to using this project.

Repository Manager

Adam is a BigFinite IoT Network Engineer, part of the team that works on the core IoT software. In his spare time he is an Intel Software Innovator in the fields of Internet of Things, Artificial Intelligence and Virtual Reality.

Adam Milton-Barker: BigFinte IoT Network Engineer & Intel® Software Innovator

About

Research and development projects for detection/early detection of Acute Myeloid Leukemia.

https://www.facebook.com/AMLResearchProject

License:MIT License


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