Road Extraction by Deep Residual U-Net

29 Nov 2017Zhengxin ZhangQingjie LiuYunhong Wang

Road extraction from aerial images has been a hot research topic in the field of remote sensing image analysis. In this letter, a semantic segmentation neural network which combines the strengths of residual learning and U-Net is proposed for road area extraction... (read more)

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TASK DATASET MODEL METRIC NAME METRIC VALUE GLOBAL RANK RESULT LEADERBOARD
Lesion Segmentation Anatomical Tracings of Lesions After Stroke (ATLAS) ResUNet Dice 0.4702 # 4
IoU 0.3549 # 3
Precision 0.5941 # 4
Recall 0.4537 # 4
Retinal Vessel Segmentation CHASE_DB1 Residual U-Net F1 score 0.7800 # 6
AUC 0.9779 # 6
Retinal Vessel Segmentation DRIVE Residual U-Net F1 score 0.8149 # 6
AUC 0.9779 # 5
Skin Cancer Segmentation Kaggle Skin Lesion Segmentation Residual U-Net F1 score 0.8799 # 2
AUC 0.9396 # 2
Lung Nodule Segmentation LUNA Residual U-Net F1 score 0.9690 # 2
AUC 0.9849 # 2
Retinal Vessel Segmentation STARE Residual U-Net F1 score 0.8388 # 3