![]() If you want to participate in the online challenge, you can register at the website, download the training and test data, and submit the results, provided you agree with the rules of the challenge and sign the data sharing agreement. RETOUCH -The Retinal OCT Fluid Detection and Segmentation Benchmark and Challenge, IEEE Transactions on Medical Imaging, vol 38(8), pp. Parhi, Hyoung Suk Park, Abdolreza Rashno, Marinko Sarunic, Saad Shaikh, Jayanthi Sivaswamy, Ruwan Tennakoon, Shivin Yadav, Sandro De Zanet, Sebastian M. Koozekanani, Donghuan Lu, Dustin Morley, Keshab K. Gostar, Kiwan Jeon, Zexuan Ji, Sung Ho Kang, Dara D. Hrvoje Bogunovic, Freerk Venhuizen, Sophie Klimscha, Stefanos Apostolopoulos, Alireza Bab-Hadiashar, Ulas Bagci, Mirza Faisal Beg, Loza Bekalo, Qiang Chen, Carlos Ciller, Karthik Gopinath, Amirali K. Please cite the following paper to refer to the RETOUCH challenge and dataset. We invite the medical imaging community to participate by developing and testing existing and novel automated retinal OCT segmentation methods. We made available a dataset of OCT volumes containing a wide variety of retinal fluid lesions with accompanying reference annotations. The goal of the challenge is to compare automated algorithms that are able to detect and segment various types of fluids on a common dataset of optical coherence tomography (OCT) volumes representing different retinal diseases, acquired with devices from different manufacturers. ![]() Welcome to the Retinal OCT Fluid Challenge! RETOUCH was initially organized as a half day Challenge in conjunction with the 4th MICCAI Workshop on Ophthalmic Medical Image Analysis (OMIA), a Satellite Event of the MICCAI 2017 conference in Quebec City, Canada. The RETOUCH challenge is open for submissions! ![]()
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