25 September 2018
IEEE Pulse feature "Imaging Intelligence": our sidebar on fine-tuning deep learning by crowd participation
In the IEEE Pulse feature “Imaging Intelligence” (September/October 2018), Shadi Albarqouni contributed the sidebar “Fine-Tuning Deep Learning by Crowd Participation” on our crowdsourcing work, AggNet and playsourcing.
The IEEE Pulse feature “Imaging Intelligence” (September/October 2018), published by the IEEE Engineering in Medicine and Biology Society, brought together experts on AI in medical imaging. Shadi Albarqouni, then at the Chair for Computer Aided Medical Procedures at TU Munich, contributed the sidebar “Fine-Tuning Deep Learning by Crowd Participation”, on how annotations from non-expert crowds can train deep learning models for medical images, as in our papers AggNet and Playsourcing.