RETOUCH: The Retinal OCT Fluid Detection and Segmentation Benchmark and Challenge

Bogunović, Hrvoje; G. Venhuizen, Freerk; Klimscha, Sophie; Apostolopoulos, Stefanos; Bab‐Hadiashar, Alireza; Bağcı, Ulaş; Faisal Beg, Mirza; Bekalo, Loza; Chen, Qiang; Ciller, Carlos; Gopinath, Karthik; Khodadadian Gostar, Amirali; Jeon, Kiwan; Ji, Zexuan; Ho Kang, Sung; D. Koozekanani, Dara; Lu, Donghuan; Morley, Dustin; K. Parhi, Keshab; Suk Park, Hyoung; Rashno, Abdolreza; V. Šarunic, Marinko; Shaikh, Saad; Sivaswamy, Jayanthi; Tennakoon, Ruwan; Yadav, Shivin; De Zanet, Sandro; M. Waldstein, Sebastian; S. Gerendas, Bianca; C. W. Klaver, Caroline; I. Sá‎nchez, Clara; Schmidt‐Erfurth, Ursula

doi:10.1109/tmi.2019.2901398

Public

RETOUCH: The Retinal OCT Fluid Detection and Segmentation Benchmark and Challenge

Published in IEEE Transactions on Medical Imaging • Feb 26, 2019

Authors:

Hrvoje Bogunović

Freerk G. Venhuizen

Sophie Klimscha

Abstract

Retinal swelling due to the accumulation of fluid is associated with the most vision-threatening retinal diseases. Optical coherence tomography (OCT) is the current standard of care in assessing the presence and quantity of retinal fluid and image-guided treatment management. Deep learning methods h...

Subject

Computer science

Optical coherence tomography

Retinal

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