Medical Imaging with Deep Learning Conference
Kitware is pleased to have our paper accepted at MIDL 2022. The conference brings the deep learning community together with medical imaging researchers, clinicians, and healthcare organizations. This will provide us the opportunity to share our latest advancements in using AI for medical computing.
Wednesday, July 6 from 11:00 am – 12:00 pm (onsite) or 15:20 – 16:20 pm (virtual)
Authors: Dženan Zukić (Kitware), Anne Haley (Kitware), Curtis Lisle (KnowledgeVis LLC), James Klo (SRI International), Kilian M. Pohl (SRI International), Hans J Johnson (University of Iowa), Aashish Chaudhary (Kitware)
In this paper, we present an open source application, Medical Image Quality Assurance (MIQA), for quality control of distributed imaging studies. To minimize the amount of human time and attention spent reviewing the images, we created a neural network to provide an automatic assessment. Reviewer’s are directed to potentially problematic cases, reducing the likelihood of overlooking image quality issues while saving them time. We tested our approach using 5-fold cross-validation on a set of 5,217 magnetic resonance images. [Link to Paper]