MICCAI 2017 Satellite Event
RETOUCH results were announced on Sep 14th, 2017 at a joint OMIA-RETOUCH workshop at MICCAI 2017 in Quebec City, Canada, and are summarized below. The challenge consisted of 70 training datasets (OCT scans with reference annotations) and 42 test datasets (OCT scans, 14 per Cirrus/Spectralis/Topcon device). Eight teams participated in the RETOUCH challenge by submitting the results on the test set and providing a paper describing their algorithm.
The 1st place was awarded to team SFU-ENSC (School of Engineering Science, Simon Fraser University, Canada).
Donghuan Lu, Morgan Heisler, Sieun Lee, Gavin Ding, Marinko V. Sarunic, and Mirza Faisal Beg:
"Retinal Fluid Segmentation and Detection in Optical Coherence Tomography Images using Fully Convolutional Neural Network".
|Helios||IIIT Hyderabad, Hyderabad, India||Shivin Yadav|
|MABIC||National Institute for Mathematical Sciences, Daejeon, Korea||Sungho Kang|
|NJUST||Nanjing University of Science & Technology, China||Qiang Chen|
|RetinAI||RetinAI Medical GmbH and University of Bern, Switzerland||Stefanos Apostolopoulos|
|RMIT||RMIT University, Melbourne, Australia||Ruwan Tennakoon||PDF (suppl)|
|SFU||Simon Fraser University, Burnaby, Canada||Donghuan Lu|
|UCF||University of Central Florida, Orlando, US||Dustin Morley|
|UMN||University of Minnesota, Minneapolis, US||Abdolreza Rashno|
The average rank-score across the two tasks (detection and segmentation) determined the final RETOUCH ranking. In case of a tie, the segmentation performance had the preference.
Segmentation Task Details
Dice Score (DSC)
Absolute Volume Difference (AVD)
Detection Task Details