x-ray-image-processing
Science Score: 31.0%
This score indicates how likely this project is to be science-related based on various indicators:
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✓CITATION.cff file
Found CITATION.cff file -
✓codemeta.json file
Found codemeta.json file -
○.zenodo.json file
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○DOI references
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○Academic publication links
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○Academic email domains
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○Institutional organization owner
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○JOSS paper metadata
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○Scientific vocabulary similarity
Low similarity (7.2%) to scientific vocabulary
Repository
Basic Info
- Host: GitHub
- Owner: ShayorForYou
- License: apache-2.0
- Language: Jupyter Notebook
- Default Branch: master
- Size: 162 MB
Statistics
- Stars: 0
- Watchers: 1
- Forks: 0
- Open Issues: 0
- Releases: 0
Metadata Files
README.md
This repo is a fork of the TorchXRayVision 📝
Modifications * added bulk and single image processing option * processed data will be saved in a csv file along with filenames
- //currently working on the excel format with the images included in the file
I used Python 3.8 64 bit version and pip version 23.0.1
Clone the project
~~~bash
git clone https://github.com/rozinCodes/X-ray-image-processing.git
~~~
Install the necessary packages
~~~bash pip install -r requirements.txt ~~~
Place some image(s) in the images folder
~~~bash cd scripts ~~~
Run the image process file ~~~bash python process_image.py ~~~
There will be a prompt asking you to select if you want to process a single image or process mutiple images together
If you select Bulk image processing, images in the images/ folder will start being processed one after another. There is an option to choose from images when selecting single image processing.
After the processing is finished, the data.csv file will be saved in the processed_data folder
Contributions
Any code optimization contributions or features are always welcome
Owner
- Name: Rozin
- Login: ShayorForYou
- Kind: user
- Location: Bangladesh
- Repositories: 12
- Profile: https://github.com/ShayorForYou
Citation (CITATION)
@inproceedings{Cohen2022xrv,
title = {{TorchXRayVision: A library of chest X-ray datasets and models}},
author = {Cohen, Joseph Paul and Viviano, Joseph D. and Bertin, Paul and Morrison, Paul and Torabian, Parsa and Guarrera, Matteo and Lungren, Matthew P and Chaudhari, Akshay and Brooks, Rupert and Hashir, Mohammad and Bertrand, Hadrien},
booktitle = {Medical Imaging with Deep Learning},
url = {https://github.com/mlmed/torchxrayvision},
arxivId = {2111.00595},
year = {2022}
}