IterNet: Retinal Image Segmentation Utilizing Structural Redundancy in Vessel Networks

12 Dec 2019Liangzhi LiManisha VermaYuta NakashimaHajime NagaharaRyo Kawasaki

Retinal vessel segmentation is of great interest for diagnosis of retinal vascular diseases. To further improve the performance of vessel segmentation, we propose IterNet, a new model based on UNet, with the ability to find obscured details of the vessel from the segmented vessel image itself, rather than the raw input image... (read more)

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TASK DATASET MODEL METRIC NAME METRIC VALUE GLOBAL RANK RESULT LEADERBOARD
Retinal Vessel Segmentation CHASE_DB1 IterNet F1 score 0.8073 # 1
AUC 0.9851 # 1
Retinal Vessel Segmentation DRIVE IterNet F1 score 0.8205 # 4
AUC 0.9816 # 1