Gland Segmentation on GlaS Challenge Dataset (test A) benchmark leaderboard · SOTA2 Research

Gland Segmentation on GlaS Challenge Dataset (test A)

92F1 ScoreMILD-Net+

Evaluation Results

Method	Links
MILD-Net+2018.06		92	91.8	39.39
MILD-Net2018.06		91.4	91.3	41.54
MILD-Net2018.06		91.4	91.3	41.54
MIMO-Net2018.06		91.3	90.6	49.15
CUMedVision22018.06		91.2	89.7	45.42
CUMedVision22018.06		91.2	89.7	45.42
ExB32018.06		89.6	88.6	57.36
Xu et al. (2017)2018.06		89.3	90.8	44.13
ExB22018.06		89.2	88.4	54.79
ExB12018.06		89.1	88.2	57.41
Freidburg22018.06		87	87.6	57.09
CUMedVision12018.06		86.8	86.7	74.6
DeepLab2018.06		86.2	85.9	65.72
Xu et al. (2016)2018.06		85.8	88.8	54.2
SegNet2018.06		85.8	86.4	62.62
Freidburg12018.06		83.4	87.5	57.19
FCN-82018.06		78.3	79.5	105.04
LIB2018.06		77.7	78.1	112.71
CVML2018.06		65.2	64.4	155.43
vision4GlaS2018.06		63.5	73.7	107.49