Workshop Chairs: Berkman Sahiner, US Food & Drug Adminsitration (United States) and Maryellen Giger, the Univ. of Chicago (United States)
In this interactive hands-on workshop exploring the infrastructure and resources of the Medical Imaging and Data Resource Center (MIDRC), we will introduce the data collection and curation methods; the user portal for accessing data including tools designed specifically for cohort building; system evaluation approaches and tools including evaluation metric selection; as well as tools for diversity assessment, identification and mitigation of bias and more.
Co-led by AAPM, ACR and RSNA, the Medical Imaging and Data Resource Center (MIDRC; midrc.org) aims to foster machine learning innovation through data sharing for rapid and flexible collection, analysis, and dissemination of imaging and associated clinical data by providing researchers with unparalleled resources in the fight against COVID-19 and beyond. The infrastructure and resources in MIDRC are designed with the intent to facilitate the effective and efficient translation of innovative tools into clinical practice.This special event is part of the Image Perception, Observer Performance, and Technology Assessment conference.