ODIN: Adaptation of an HTML 5-Compatible DICOM Viewer for MIRC-TFS, Enhancing the Incorporation of Clinical Images into the Health Science Curriculum.

Brent Edward BurbridgeConnor BurbridgeJohn CostaYasmin Carter

Published in: Medical science educator (2019)

This project has resulted in the successful development and deployment of a variety of solutions, including an HTML 5 DICOM viewer, that has allowed for the incorporation of anonymized DICOM images from a clinical imaging repository into the undergraduate curriculum.

Keyphrases

quality improvement
public health
medical education
medical students
deep learning
healthcare
convolutional neural network
optical coherence tomography
high resolution
mental health
health information
social media
mass spectrometry