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https://github.com/githubuseraccountamazing/leukoright
A web app that uses a custom-built Keras model to recognize and classify white blood cells from microscopic images. It can distinguish between different types of WBCs and identify artifacts and bursted cells. I created this app as a way to explore image recognition technologies and to learn how to develop Keras models from scratch.
https://github.com/githubuseraccountamazing/leukoright
blood-analysis cell-recognition cell-types hematology image-classification keras leukocytes lymphocyte machine-learning microscopy microscopy-images monocyte neutrophil webapp white-blood-cells
Last synced: 1 day ago
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A web app that uses a custom-built Keras model to recognize and classify white blood cells from microscopic images. It can distinguish between different types of WBCs and identify artifacts and bursted cells. I created this app as a way to explore image recognition technologies and to learn how to develop Keras models from scratch.
- Host: GitHub
- URL: https://github.com/githubuseraccountamazing/leukoright
- Owner: GithubUserAccountAmazing
- License: gpl-3.0
- Created: 2022-10-05T19:16:20.000Z (about 2 years ago)
- Default Branch: main
- Last Pushed: 2023-04-03T01:34:33.000Z (over 1 year ago)
- Last Synced: 2024-09-11T19:51:27.964Z (2 months ago)
- Topics: blood-analysis, cell-recognition, cell-types, hematology, image-classification, keras, leukocytes, lymphocyte, machine-learning, microscopy, microscopy-images, monocyte, neutrophil, webapp, white-blood-cells
- Language: Python
- Homepage:
- Size: 61.8 MB
- Stars: 5
- Watchers: 2
- Forks: 0
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
- License: LICENSE
Awesome Lists containing this project
README
leukoRight
####
Your personal WBC expert!
LeukoRight is a trained Keras model and web app that has been trained to recognize white blood cells with ease! It can differentiate between 8 types of WBCs and can also differentiate artifacts and bursted cells. You can drag images of stained white blood cells into the app and after clicking submit, LeukoRight will immediately tell you which WBC it is!
## The model
the leukoRight model has been trained to differentiate the following WBC types.
- Neutrophil
- Band Neutrophil
- Lymphocyte
- Large (activated) lymphocyte
- Monocyte
- Basophil
- Eosinophil
- MetamyelocyteIt is also trained to differentiate Artifacts and Bursted Cells.
## .h5 file instructions
The **leukoRight model tar file** can be found in `/models`. However, please note that this model is not intended to be used in a real healthcare setting. The file is very large (~32mb) and is split into 2 different parts: `partaa` and `partab`. To combine these files into a single tar file use the following command:
`cat leukoright_model.tar.gz.parta* >leukoright.tar.gz.joined`
## License
```
This program is free software: you can redistribute it and/or modify
it under the terms of the GNU General Public License as published by
the Free Software Foundation, either version 3 of the License, or
(at your option) any later version.This program is distributed in the hope that it will be useful,
but WITHOUT ANY WARRANTY; without even the implied warranty of
MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
GNU General Public License for more details.You should have received a copy of the GNU General Public License
along with this program. If not, see .
```