Statements (25)
| Predicate | Object |
|---|---|
| gptkbp:instanceOf |
gptkb:model
|
| gptkbp:alsoKnownAs |
gptkb:U-Net++
|
| gptkbp:application |
medical image analysis
biomedical image segmentation |
| gptkbp:architecture |
gptkb:convolutional_neural_network
|
| gptkbp:basedOn |
gptkb:U-Net
|
| gptkbp:citation |
high (over 2000 citations as of 2024)
|
| gptkbp:feature |
deep supervision
dense skip connections nested skip pathways multi-scale feature fusion reduced semantic gap between encoder and decoder |
| https://www.w3.org/2000/01/rdf-schema#label |
Nested U-Net
|
| gptkbp:improves |
gptkb:U-Net
segmentation accuracy |
| gptkbp:influenced |
subsequent medical image segmentation models
|
| gptkbp:influencedBy |
encoder-decoder architecture
|
| gptkbp:mainPaper |
gptkb:UNet++:_A_Nested_U-Net_Architecture_for_Medical_Image_Segmentation
|
| gptkbp:mainPaperURL |
https://arxiv.org/abs/1807.10165
|
| gptkbp:proposedBy |
gptkb:Zongwei_Zhou
2018 |
| gptkbp:repository |
https://github.com/MrGiovanni/UNetPlusPlus
|
| gptkbp:usedFor |
image segmentation
|
| gptkbp:bfsParent |
gptkb:UNet_architecture
|
| gptkbp:bfsLayer |
7
|