UNet++: A Nested U-Net Architecture for Medical Image Segmentation

18 Jul 2018  ·  Zongwei Zhou, Md Mahfuzur Rahman Siddiquee, Nima Tajbakhsh, Jianming Liang ·

Implementation of different kinds of Unet Models for Image Segmentation - Unet , RCNN-Unet, Attention Unet, RCNN-Attention Unet, Nested Unet

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Task Dataset Model Metric Name Metric Value Global Rank Result Benchmark
Medical Image Segmentation 2018 Data Science Bowl Unet++ Dice 0.8974 # 6
mIoU 0.9255 # 1
Recall - # 5
Precision - # 5
Semantic Segmentation Cityscapes val UNet++ (ResNet-101) mIoU 75.5 # 43
Medical Image Segmentation CVC-ClinicDB U-Net++ mean Dice 0.7940 # 24
Medical Image Segmentation Kvasir-SEG U-Net++ Average MAE 0.048 # 8
mean Dice 0.8210 # 22
S-Measure 0.862 # 8
max E-Measure 0.910 # 8
Video Polyp Segmentation SUN-SEG-Easy UNet++ S measure 0.684 # 1
mean E-measure 0.687 # 1
weighted F-measure 0.491 # 1
mean F-measure 0.553 # 1
Dice 0.559 # 1
Video Polyp Segmentation SUN-SEG-Easy (Unseen) UNet++ Sensitivity 0.457 # 9
Video Polyp Segmentation SUN-SEG-Hard UNet++ S-Measure 0.685 # 1
mean E-measure 0.697 # 1
weighted F-measure 0.480 # 1
mean F-measure 0.544 # 1
Dice 0.554 # 1
Video Polyp Segmentation SUN-SEG-Hard (Unseen) UNet++ Sensitivity 0.467 # 9

Methods