https://github.com/choosehappy/quickreviewer
Allows for multiple people to quickly review images and provide categorical feedback
Science Score: 13.0%
This score indicates how likely this project is to be science-related based on various indicators:
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○CITATION.cff file
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○codemeta.json file
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○.zenodo.json file
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✓DOI references
Found 1 DOI reference(s) in README -
○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 (11.5%) to scientific vocabulary
Last synced: 9 months ago
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Repository
Allows for multiple people to quickly review images and provide categorical feedback
Basic Info
- Host: GitHub
- Owner: choosehappy
- Language: CSS
- Default Branch: master
- Size: 2.97 MB
Statistics
- Stars: 6
- Watchers: 3
- Forks: 3
- Open Issues: 1
- Releases: 0
Created over 8 years ago
· Last pushed about 3 years ago
https://github.com/choosehappy/QuickReviewer/blob/master/
# QuickReviewer
A quick web user interface which allows multiple user to rapidly review images and assign them a value
## Use Case
We have a number of histology images which we would like a set of experts to categorize into one of 4 categories (none, low, medium, high).
This app will show them the image and the 4 associated buttons and record their result.
Afterwards, one can look at the statistics of their results using the *res.php* and *res_comp.php* pages
## Requirements
Apache, php, mysql
## Installation
1. Create new mysql database
2. Edit *bd_script.sql* to have image filenames, and run script in mysql
3. Edit *Constants.php* to specify database name, location, username, password, etc
4. Copy *app* directory to apache target directory
5. Copy images to *resources* directory
6. Thats it!
## Citing
This work was developed for and used in this manuscript, please cite it!
@article {Corredor1526,
author = {Corredor, Germ{\'a}n and Wang, Xiangxue and Zhou, Yu and Lu, Cheng and Fu, Pingfu and Syrigos, Konstantinos and Rimm, David L. and Yang, Michael and Romero, Eduardo and Schalper, Kurt A. and Velcheti, Vamsidhar and Madabhushi, Anant},
title = {Spatial Architecture and Arrangement of Tumor-Infiltrating Lymphocytes for Predicting Likelihood of Recurrence in Early-Stage Non{\textendash}Small Cell Lung Cancer},
volume = {25},
number = {5},
pages = {1526--1534},
year = {2019},
doi = {10.1158/1078-0432.CCR-18-2013},
publisher = {American Association for Cancer Research},
issn = {1078-0432},
URL = {https://clincancerres.aacrjournals.org/content/25/5/1526},
eprint = {https://clincancerres.aacrjournals.org/content/25/5/1526.full.pdf},
journal = {Clinical Cancer Research} }
###### This project was entirely coded by German Corredor Prada and is hosted here with his permission
Owner
- Login: choosehappy
- Kind: user
- Repositories: 8
- Profile: https://github.com/choosehappy