Join the Machine Learning in Medical Imaging Consortium (MaLMIC) for an opportunity to network on machine learning
Join MaLMIC at ImNO 2022
Wednesday, March 23, 2022
10:05AM to 10:55AM EST
MaLMIC is organizing a machine learning session at ImNO 2022 on Wednesday, March 23, 2022. Alison Noble, a research scientist at University of Oxford, will give a keynote presentation followed by oral and pitch presentations focused on imaging machine learning applications.
If you are interested in attending the MaLMIC-sponsored session at ImNO, please register for the symposium at https://imno.ca/Registration.
The registration fee is $50 until March 7 and increases to $100 on March 8.
Join MaLMIC at ImNO 2022
MaLMIC is organizing a machine learning session at ImNO 2022 on Wednesday, March 23, 2022. Alison Noble, a research scientist at University of Oxford, will give a keynote presentation followed by oral and pitch presentations focused on imaging machine learning applications.
Ultrasound Video Analysis
Alison Noble, PhD
Professor, University of Oxford
Talk summary: Clinical experts are adept at exploiting the spatio-temporal nature of ultrasound in freehand ultrasound image acquisition and interpretation. However, automating this human capability is proving surprisingly difficult. Alison will describe two quite different approaches they are investigating to address this. The first is to take a multi-modal approach, and use sonographer gaze, probe movements and audio together with video to build computational models of ultrasound-based tasks. The second approach builds computational models of ultrasound tasks from simple-to-learn bespoke ultrasound scan sweep protocols making them suitable for triage in global health settings. Deep learning underpins these solutions, but success requires thinking beyond the algorithm.