The Peter Moss Acute Myeloid & Lymphoblastic Leukemia Keras AllCNN Paper 1 Classifiers are a collection of projects that use computer vision written in Python using Keras to classify Acute Myeloid & Lymphoblastic Leukemia in unseen images. The projects use the ACUTE LEUKEMIA CLASSIFICATION USING CONVOLUTION NEURAL NETWORK IN CLINICAL DECISION SUPPORT SYSTEM paper and the ALL_IDB1 & ALL_IDB2 datasets.
The Keras AllCNN Paper 1 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; |
Project | Dataset | Description | Author(s) |
---|---|---|---|
ALL_IDB1 | AllCNN | A model trained to detect ALL using Keras with Tensorflow Backend, Paper 1 and the original Dataset 1. | Adam Milton-Barker |
ALL_IDB2 | AllCNN | A model trained to detect ALL using Keras with Tensorflow Backend, Paper 1 and the original Dataset 2. | Adam Milton-Barker |
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.
The following Peter Moss Acute Myeloid & Lymphoblastic Leukemia AI Research project team members have contributed towards this repository:
The following AML/ALL AI Student Program Students & Research Interns have contributed towards this repository:
We use SemVer for versioning. For the versions available, see Releases.
This project is licensed under the MIT License - see the LICENSE file for details.
We use the repo issues to track bugs and general requests related to using this project.