UNet++: A Nested U-Net Architecture for Medical Image Segmentation
GPTKB entity
Statements (17)
| Predicate | Object |
|---|---|
| gptkbp:instanceOf |
gptkb:academic_journal
|
| gptkbp:author |
gptkb:Jianming_Liang
gptkb:Md_Mahfuzur_Rahman_Siddiquee gptkb:Nima_Tajbakhsh gptkb:Zongwei_Zhou |
| gptkbp:basedOn |
gptkb:U-Net
|
| gptkbp:citation |
high
|
| gptkbp:field |
medical image segmentation
|
| gptkbp:improves |
segmentation accuracy
|
| gptkbp:introduced |
nested skip pathways
|
| gptkbp:proposedBy |
UNet++ architecture
|
| gptkbp:publicationYear |
2018
|
| gptkbp:publishedIn |
gptkb:MICCAI_2018
|
| gptkbp:url |
https://arxiv.org/abs/1807.10165
|
| gptkbp:bfsParent |
gptkb:U-Net++
|
| gptkbp:bfsLayer |
7
|
| https://www.w3.org/2000/01/rdf-schema#label |
UNet++: A Nested U-Net Architecture for Medical Image Segmentation
|