Datasets
Models
99 lines (61 with data), 6.9 kB
Peter Moss Acute Myeloid & Lymphoblastic Leukemia AI Research Project
Acute Lymphoblastic Leukemia Classifiers 2019
Keras Classifiers
AllCNN Classifiers
Table Of Contents
- Introduction
- DISCLAIMER
- Research Papers
- Datasets
- Projects
- Contributing
- Versioning
- License
- Bugs/Issues
Introduction
The AllCNN Classifiers are a collection of projects that use computer vision written in Python using Keras to classify Acute Lymphoblastic Leukemia in unseen images.
DISCLAIMER
These projects should be used for research purposes only. The purpose of the projects is to show the potential of Artificial Intelligence for medical support systems such as diagnosis systems.
Although the classifiers are accurate and show good results both on paper and in real world testing, they are not meant to be an alternative to professional medical diagnosis.
Developers that have contributed to this repository have experience in using Artificial Intelligence for detecting certain types of cancer. They are not a doctors, medical or cancer experts.
Please use these systems responsibly.
Research Papers
The Keras AllCNN Classifiers follow a number of different research papers. The research papers used in these projects are linked below:
| ID | Paper | Author(s) |
|---|---|---|
| 1 | ACUTE LEUKEMIA CLASSIFICATION USING CONVOLUTION NEURAL NETWORK IN CLINICAL DECISION SUPPORT SYSTEM | Thanh.TTP, Giao N. Pham, Jin-Hyeok Park, Kwang-Seok Moon, Suk-Hwan Lee, and Ki-Ryong Kwon |
| 2 | Leukemia Blood Cell Image Classification Using Convolutional Neural Network | T. T. P. Thanh, Caleb Vununu, Sukhrob Atoev, Suk-Hwan Lee, and Ki-Ryong Kwon |
Datasets
The Keras AllCNN Classifiers use a number of different datasets. The datasets used in these projects are linked below:
| ID | Dataset | Maintainer(s) |
|---|---|---|
| 1 | ALL_IDB1 | Fabio Scotti (proposer and maintainer),Ruggero Donida Labati & Vincenzo Piuri; |
| 2 | ALL_IDB2 | Fabio Scotti (proposer and maintainer),Ruggero Donida Labati & Vincenzo Piuri; |
Projects
| Project | Dataset | Description | Author(s) |
|---|---|---|---|
| AllCNN | ALL_IDB1 | A model trained to detect ALL using Keras with Tensorflow Backend, Paper 1 and the original Dataset 1. | Adam Milton-Barker |
| AllCNN | ALL_IDB2 | A model trained to detect ALL using Keras with Tensorflow Backend, Paper 1 and the original Dataset 2. | Adam Milton-Barker |
Contributing
The Peter Moss Acute Myeloid & Lymphoblastic Leukemia AI Research project encourages and welcomes code contributions, bug fixes and enhancements from the Github.
Please read the CONTRIBUTING document for a full guide to forking our repositories and submitting your pull requests. You will also find information about our code of conduct on this page.
Contributors
- Adam Milton-Barker - Asociacion De Investigation En Inteligencia Artificial Para La Leucemia Peter Moss President & Lead Developer, Sabadell, Spain
Versioning
We use SemVer for versioning. For the versions available.
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.