Vessel Segmentation on CHASE-DB benchmark leaderboard · SOTA2 Research

Vessel Segmentation on CHASE-DB

8,297True PositiveSrinishi et al., 2018

Evaluation Results

Method
Srinishi et al., 20182026.05	8,297	96.63	9,474
Orlando et al., 20172026.05	7,277	9,712	—
Connectivity Filter + Morphology Closing2026.05	7,121	9,783	9,596
Chakraborti et al., 20142026.05	5,286	9,594	9,298
Memari et al., 20192026.05	738	968	939
Adeyinka et al., 20192026.05	713	—	94.89
Shin et al., 20162026.05	93.94	9,463	93.73
Soomro et al., 20192026.05	88.6	982	97.6
Rodrigues et al., 20202026.05	87.82	9,852	97.78
Tavakoli et al., 20212026.05	79.8	9,512	9,475
Jiang et al., 20192026.05	78.39	9,894	97.21
Liskowski et al., 20162026.05	78.16	9,836	96.28
Samant et al., 20192026.05	70.27	9,828	9,545
Thresholded Frangi Filter2026.05	67.95	9,568	9,377
Connectivity Filter2026.05	66.28	9,791	95.7
Local-Sensitive Connectivity Filter2026.05	65.77	9,803	95.81