The ALL-IDB Classifers repository hosts a collection of research using Fabio Scottie's ALL-IDB (Acute Lymphoblastic Leukemia Image Database for Image Processing) dataset. The repository provides tutorials and codes for creating Convolutional Neural Networks (CNN) & Generative Adversarial Networks (GAN) created with various languages and frameworks.
You need to be granted access to use the Acute Lymphoblastic Leukemia Image Database for Image Processing dataset. You can find the application form and information about getting access to the dataset on this page as well as information on how to contribute back to the project here. If you are not able to obtain a copy of the dataset please feel free to try this tutorial on your own dataset, we would be very happy to find additional AML & ALL datasets.
This project evaluates a number of different research papers on detecting Acute Lymphoblastic Leukemia using Convolutional Neurals Networks and the Acute Lymphoblastic Leukemia Image Database for Image Processing dataset.
Inspired by the work done by Amita Kapoor and Taru Jain and my previous projects based on their work.
The purpose of the project is to recreate the networks proposed in the papers, and compare results between the different types of networks. Papers used in this evaluation are as follows:
- PAPER 1: Acute Leukemia Classification Using Convolution Neural Network In Clinical Decision Support System by Thanh.TTP, Giao N. Pham, Jin-Hyeok Park, Kwang-Seok Moon, Suk-Hwan Lee, and Ki-Ryong Kwon
- PAPER 2: Leukemia Blood Cell Image Classification Using Convolutional Neural Network by T. T. P. Thanh, Caleb Vununu, Sukhrob Atoev, Suk-Hwan Lee, and Ki-Ryong Kwon.
You can view the parts that make up the evaluations here:
| Evaluation | Status | Link |
|---|---|---|
| Paper 1 Evaluation | Complete | Paper 1 Evaluation |
| Paper 1 Augmentation Evaluation | Complete | Paper 1 Augmentation Evaluation |
The Peter Moss Leukemia Research Foundation & Peter Moss Acute Myeloid & Lymphoblastic Leukemia AI Research project encourages and welcomes code contributions, bug fixes and enhancements from the Github community.
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:
- Adam Milton-Barker - Peter Moss Leukemia Research Foundation, Barcelona, Spain
- Salvatore Raieli - Peter Moss Leukemia Research Foundation. Bologna, Italy
- Dr Amita Kapoor - Peter Moss Leukemia Research Foundation. Delhi, India
The following AML/ALL AI Student Program Students & Research Interns have contributed towards this repository:
- Taru Jain - Pre-final year undergraduate pursuing B.Tech in IT
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.