[IJHCS] UTA7: a dataset of rates (BI-RADS) provided by clinicians resulted from classifying the given medical images for breast cancer diagnosis.
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Updated
Apr 13, 2023 - CSS
[IJHCS] UTA7: a dataset of rates (BI-RADS) provided by clinicians resulted from classifying the given medical images for breast cancer diagnosis.
A breast cancer research project
[IJHCS] UTA7: a dataset of clinicians' results of the System Usability Scale (SUS) answers from our user studies.
[IJHCS] UTA7: a dataset of time-on-task during our user studies extracted from clinicians while interacting with our assistant across the breast cancer diagnosis.
[IJHCS] UTA7: a dataset of clinicians' NASA-TLX results from our user studies.
[IJHCS] UTA7: a dataset of heatmaps and images resulted from computing the given abnormalities which were manually delineated by clinicians while annotating the breast cancer lesions.
[IJHCS] UTA7: a dataset of manual annotations provided by radiologists in medical imaging for breast cancer diagnosis. The work was published in the International Journal of Human-Computer Studies.
Project website.
[IJHCS] UTA7: a dataset from the results of the affinity diagrams extracted from our focus groups.
[IJHCS] UTA7: a dataset of clinicians' demographic results from our user studies.
The webpage of the MIMBCD-UI research work.
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