Deep Vessel Segmentation By Learning Graphical Connectivity

6 Jun 2018Seung Yeon ShinSoochahn LeeIl Dong YunKyoung Mu Lee

We propose a novel deep-learning-based system for vessel segmentation. Existing methods using CNNs have mostly relied on local appearances learned on the regular image grid, without considering the graphical structure of vessel shape... (read more)

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Results from the Paper


TASK DATASET MODEL METRIC NAME METRIC VALUE GLOBAL RANK LEADERBOARD
Retinal Vessel Segmentation CHASE_DB1 VGN F1 score 0.8034 # 2
AUC 0.9830 # 3
Retinal Vessel Segmentation DRIVE VGN F1 score 0.8263 # 1
AUC 0.9802 # 2
Retinal Vessel Segmentation HRF VGN AUC 0.9838 # 1
F1 score 0.8151 # 1
Retinal Vessel Segmentation STARE VGN F1 score 0.8429 # 2
AUC 0.9877 # 3