[AVI 2020] UTA4: Medical Imaging DICOM files dataset.
dicom
dataset
medical-imaging
datasets
dicom-images
human-computer-interaction
quantitative-analysis
-
Updated
Jan 4, 2021 - CSS
[AVI 2020] UTA4: Medical Imaging DICOM files dataset.
[AVI 2020] UTA4: Rates (BIRADS) dataset.
[AVI 2020] UTA4: NASA-TLX dataset.
[AVI 2020] UTA4: Time dataset.
[AVI 2020] UTA4: SUS dataset.
[AVI 2020] UTA4: Severity (BIRADS) & Pathology Classifications dataset. The work was presented in the Advanced Visual Interfaces conference.
A series of short workshops aimed at qualitative researchers trying to get started with qualitative research.
Add a description, image, and links to the quantitative-analysis topic page so that developers can more easily learn about it.
To associate your repository with the quantitative-analysis topic, visit your repo's landing page and select "manage topics."