Explore @MIMBCD-UI Open Source projects

Medical Imaging Multimodality Breast Cancer Diagnosis User Interface (@MIMBCD-UI)

MIMBCD-UI

Stars
105
Global Org. Rank 56,618 (Top 18 %)
Registered almost 9 years ago
Most used languages

CSS
41.9 %

TeX
32.3 %

JavaScript
16.1 %

HTML
6.5 %

Python
3.2 %
Location 🇵🇹 Portugal
Country Total Rank 687
Country Ranking

TeX
17

CSS
29

JavaScript
423

HTML
687

Python
2,237

dataset-uta4-dicom

[AVI 2020] UTA4: Medical Imaging DICOM files dataset.

prototype-cornerstone

CornerstoneJS Modified Prototype

meta

📎 About MIMBCD-UI Project

dataset-uta7-dicom

[IJHCS] UTA7: a dataset with DICOM files of medical imaging provided by radiologists. The work was published in the International Journal of Human-Computer Studies.

avi-2020-short-paper

[AVI 2020] Short Paper: BreastScreening source for the LaTeX version of the manuscript.

prototype-multi-modality

✨ [AVI 2020] A prototype platform for lesion annotations and manual segmentation on breast cancer diagnosis with a multimodality strategy. The work was presented in the Advanced Visual Interfaces (AVI) conference.

dataset-uta4-sus

[AVI 2020] UTA4: SUS dataset.

dataset-uta7-rates

[IJHCS] UTA7: a dataset of rates (BI-RADS) provided by clinicians resulted from classifying the given medical images for breast cancer diagnosis.

dataset-uta4-rates

[AVI 2020] UTA4: Rates (BIRADS) dataset.

dataset-uta4-nasa-tlx

[AVI 2020] UTA4: NASA-TLX dataset.

iss-2017-poster

📄 [ISS 2017] Poster: TTBMIDA

nasa-tlx

✅ NASA-TLX LaTeX Version

sus

✅ System Usability Scale (SUS) LaTeX Version

dataset-uta7-nasa-tlx

[IJHCS] UTA7: a dataset of clinicians' NASA-TLX results from our user studies.

iss-2017-paper

📄 [ISS 2017] Paper: TTBMIDA

dataset-uta4-time

[AVI 2020] UTA4: Time dataset.

dataset-uta7-sus

[IJHCS] UTA7: a dataset of clinicians' results of the System Usability Scale (SUS) answers from our user studies.

dataset-uta7-time

[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.

prototype-cornerstone-touch

📲 [ISS 2017] MIMBCD-UI Cornerstone Touch Prototype

technical-manuals

📒 Technical Manuals

server-brain-test

⚡ Brain Server Test

dataset-samples

📊 Dataset Samples

sa-uta11-results

📈 [CHI 2023] Results of the statistical analysis applied to the UTA11 guide.

prototype-breast-screening

💎 MIMBCD-UI Breast Screening Prototype

testing-guide-brain

📔 Brain User Testing Guide

testing-guide-breast

📔 Breast User Testing Guide

certificates

📃 Collaboration Certificates

statistical-analysis

📉 Statistical Analysis

dataset-uta7-heatmaps

[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.

user-manuals

📒 User Manuals

dataset-uta4-classifications

[AVI 2020] UTA4: Severity (BIRADS) & Pathology Classifications dataset. The work was presented in the Advanced Visual Interfaces conference.

dataset-uta7-annotations

[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.

dataset-counters

🔩 Dataset Counters