Volume rendering in the browser, using volume ray casting implemented in WebGL 2.
-
Updated
Oct 15, 2019 - CSS
#
Medical imaging
Medical imaging is the technique and process of creating visual representations of the interior of a body for clinical analysis, and medical intervention.
Here are 31 public repositories matching this topic...
[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
[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.
machine-learning doctor deep-learning dicom artificial-intelligence healthcare dataset medical-imaging datasets doctors clinicians human-computer-interaction user-centered-design physician user-research human-centered-design clinician physicians
-
Updated
Jun 1, 2022 - CSS
Web system for identification and analysis of header tags from DICOM files and comparison of tags between files of the type.
-
Updated
Jun 28, 2020 - CSS
Website for the Imperial First Year Topics Project.
-
Updated
Apr 8, 2019 - CSS
Official website for HarmonizedMRI—a platform dedicated to sharing MRI harmonization projects and resources.
open-source research image-processing mri medical-imaging fmri diffusion-mri harmonization pulseq quantitative-mri sequence-programming
-
Updated
Nov 9, 2024 - CSS
[IJHCS] UTA7: a dataset of rates (BI-RADS) provided by clinicians resulted from classifying the given medical images for breast cancer diagnosis.
medical-imaging human-computer-interaction user-testing user-centered-design breast-cancer false-positive false-negative birads bi-rads false-positive-rate false-negative-rate
-
Updated
Apr 13, 2023 - CSS
Website repository for modelhub.ai
-
Updated
Oct 22, 2021 - CSS
[AVI 2020] UTA4: Rates (BIRADS) dataset.
doctor dataset medical-imaging datasets doctors clinicians human-computer-interaction rates radiology quantitative-analysis physician clinician birads
-
Updated
Apr 13, 2023 - CSS
[IJHCS] UTA7: a dataset of clinicians' NASA-TLX results from our user studies.
dataset medical-imaging datasets human-computer-interaction user-centered-design workload breast-cancer nasa-tlx
-
Updated
Feb 11, 2021 - CSS
[IJHCS] UTA7: a dataset of clinicians' results of the System Usability Scale (SUS) answers from our user studies.
healthcare dataset medical-imaging usability datasets design-thinking human-computer-interaction user-centered-design usability-testing breast-cancer sus system-usability-scale
-
Updated
Feb 11, 2021 - CSS
[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.
time users dataset medical-imaging user datasets doctors clinicians human-computer-interaction user-centered-design breast breast-cancer clinician time-on-task
-
Updated
Feb 11, 2021 - CSS
Official source code for Health Tech , a health care service provider which uses artifical intelligence to tackle the problems .
-
Updated
Dec 26, 2021 - CSS
Website pages for Model Deployment of ICH Detection using DL
javascript css python html machine-learning deep-neural-networks deep-learning detection machine-learning-algorithms cnn medical-imaging deep-learning-algorithms deep-learning-papers hybrid-model machine-learning-models model-deployment deeplearning-demo deep-learning-models machine-learning-projects ct-scan-images
-
Updated
Sep 1, 2020 - CSS
[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.
machine-learning deep-learning heatmap artificial-intelligence dataset medical-imaging segmentation datasets human-computer-interaction user-centered-design heatmaps breast-cancer lesion-segmentation lesion-detection
-
Updated
Feb 11, 2021 - CSS
[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.
doctor dataset medical-imaging datasets doctors clinicians breast-cancer physician clinician manual-segmentation physicians
-
Updated
Feb 11, 2021 - CSS
Project website.
machine-learning deep-learning artificial-intelligence healthcare medical-imaging radiology breast-cancer
-
Updated
Sep 10, 2024 - CSS
[AVI 2020] UTA4: Severity (BIRADS) & Pathology Classifications dataset. The work was presented in the Advanced Visual Interfaces conference.
doctor dataset medical-imaging datasets doctors clinicians human-computer-interaction radiology quantitative-analysis pathology physician clinician birads severity
-
Updated
Jan 4, 2021 - CSS
📊 [CHI 2023] UTA11: a medical imaging dataset of patients with DICOM files provided by radiologists.
-
Updated
Apr 3, 2024 - CSS
Create a medical imaging application based on different DL models.
-
Updated
Sep 12, 2021 - CSS
- Followers
- 118 followers
- Wikipedia
- Wikipedia