Medical Imaging with Deep Learning: MIDL 2019 -- Extended Abstract Track

TL;DR

This collection compiles accepted extended abstracts from MIDL 2019, showcasing recent advances in applying deep learning techniques to medical imaging, highlighting ongoing research and developments in the field.

Contribution

It provides a comprehensive overview of the latest research presented at MIDL 2019, serving as a valuable resource for researchers in medical imaging and deep learning.

Findings

Diverse deep learning methods applied to medical imaging tasks

Innovative architectures and training strategies proposed

Preliminary results demonstrating improved accuracy

Abstract

This compendium gathers all the accepted extended abstracts from the Second International Conference on Medical Imaging with Deep Learning (MIDL 2019), held in London, UK, 8-10 July 2019. Note that only accepted extended abstracts are listed here, the Proceedings of the MIDL 2019 Full Paper Track are published as Volume 102 of the Proceedings of Machine Learning Research (PMLR) http://proceedings.mlr.press/v102/.