Awesome

UTA10: Affinity Diagrams Dataset

Several datasets are fostering innovation in higher-level functions for everyone, everywhere. By providing this repository, we hope to encourage the research community to focus on hard problems. In this repository, we present a full sampling of our affinity diagrams extrated from the focus groups during the User Tests and Analysis 10 (UTA10) study. Here, we provide a dataset/ of the extrated affinity diagrams during the focus groups for the UTA10 tasks. The user tests were made in clinical institutions, where clinicians diagnose several patients for a Bounding Boxes vs Real Lesion Contours comparison. For example, in these tests, we used the prototype-lesion-bbs and prototype-rlc repositories for the comparison. On the same hand, the hereby dataset represents the pieces of information of both BreastScreening and MIDA research works. For more information about the available datasets please follow the Datasets page on the Wiki of the meta information repository. Last but not least, you can find further information on the Wiki in this repository. We also have several demos to see in our YouTube Channel, please follow us.

Citing

We kindly ask scientific works and studies that make use of the repository to cite it in their associated publications. Similarly, we ask open-source and closed-source works that make use of the repository to warn us about this use.

You can cite our work using the following BibTeX entry:

@misc{https://doi.org/10.5281/zenodo.3738763,
  doi = {10.5281/ZENODO.3738763},
  url = {https://zenodo.org/record/3738763},
  author = {Calisto,  Francisco Maria},
  title = {opprDev/repo-template-datasets: v0.1.1-alpha},
  publisher = {Zenodo},
  year = {2020}
}

Prerequisites
Usage
Roadmap
Contributing
License & Copyright
Team
Acknowledgements

Prerequisites

The following list is showing the required dependencies for this project to run locally:

Git or any other Git or GitHub version control tool
Python (3.5 or newer)

Here are some tutorials and documentation, if needed, to feel more comfortable about using and playing around with this repository:

Usage

Usage follow the instructions here to setup the current repository and extract the present data. To understand how the hereby repository is used for, read the following steps.

Installation

At this point, the only way to install this repository is manual. Eventually, this will be accessible through pip or any other package manager, as mentioned on the roadmap.

Nonetheless, this kind of installation is as simple as cloning this repository. Virtually all Git and GitHub version control tools are capable of doing that. Through the console, we can use the command below, but other ways are also fine.

git clone https://github.com/MIMBCD-UI/dataset-uta10-ad.git

Optionally, the module/directory can be installed into the designated Python interpreter by moving it into the site-packages directory at the respective Python directory.

Demonstration

Please, feel free to try out our demo. It is a script called demo.py at the src/ directory. It can be used as follows:

python src/demo.py

Just keep in mind this is just a demo, so it does nothing more than downloading data to an arbitrary destination directory if the directory does not exist or does not have any content. Also, we did our best to make the demo as user-friendly as possible, so, above everything else, have fun! 😁

Roadmap

We need to follow the repository goal, by addressing the thereby information. Therefore, it is of chief importance to scale this solution supported by the repository. The repository solution follows the best practices, achieving the Core Infrastructure Initiative (CII) specifications.

Besides that, one of our goals involves creating a configuration file to automatically test and publish our code to pip or any other package manager. It will be most likely prepared for the GitHub Actions. Other goals may be written here in the future.

Contributing

This project exists thanks to all the people who contribute. We welcome everyone who wants to help us improve this downloader. As follows, we present some suggestions.

Issuer

Either as something that seems missing or any need for support, just open a new issue. Regardless of being a simple request or a fully-structured feature, we will do our best to understand them and, eventually, solve them.

Developer

We like to develop, but we also like collaboration. You could ask us to add some features... Or you could want to do it yourself and fork this repository. Maybe even do some side-project of your own. If the latter ones, please let us share some insights about what we currently have.

Information

The current information will summarize important items of this repository. In this section, we address all fundamental items that were crucial to the current information.

Related Repositories

The following list, represents the set of related repositories for the presented one:

Dataset Resources

To publish our datasets we used a well known platform called Kaggle. To access our project's Profile Page just follow the link.

License & Copyright

The dataset-uta10-ad repository is distributed under the terms of GNU AGPLv3 license and CC-BY-SA-4.0 copyright. Permissions of this license are conditioned on making available complete elements from this repository of licensed works and modifications, which include larger works using a licensed work, under the same license. Copyright and license notices must be preserved.

Team

Our team brings everything together sharing ideas and the same purpose, developing even better work. In this section, we will nominate the full list of important people for this repository, as well as respective links.

Authors

Francisco Maria Calisto [ Website | ResearchGate | GitHub | Twitter | LinkedIn ]
Hugo Lencastre [ ResearchGate ]
Nádia Mourão [ ResearchGate ]

Participants

Carlos Santiago
Jacinto C. Nascimento
Nuno Nunes

Acknowledgements

This work was partially supported by national funds through FCT and IST through the UID/EEA/50009/2013 project, BL89/2017-IST-ID grant. We thank Dr. Clara Aleluia and her radiology team of HFF for valuable insights and helping using the Assistant on their daily basis. From IPO-Lisboa, we would like to thank the medical imaging teams of Dr. José Carlos Marques and Dr. José Venâncio. From IPO-Coimbra, we would like to thank the radiology department director and the all team of Dr. Idílio Gomes. Also, we would like to provide our acknowledgments to Dr. Emília Vieira and Dr. Cátia Pedro from Hospital Santa Maria. Furthermore, we want to thank all team from the radiology department of HB for participation. Last but not least, a great thanks to Dr. Cristina Ribeiro da Fonseca, who among others is giving us crucial information for the BreastScreening project.

Supporting

Our organization is a non-profit organization. However, we have many needs across our activity. From infrastructure to service needs, we need some time and contribution, as well as help, to support our team and projects.

Contributors

This project exists thanks to all the people who contribute. [Contribute].

Backers

Thank you to all our backers! 🙏 [Become a backer]

Sponsors

Support this project by becoming a sponsor. Your logo will show up here with a link to your website. [Become a sponsor]

Departments

Laboratories

Domain