Statements (18)
| Predicate | Object |
|---|---|
| gptkbp:instanceOf |
gptkb:model
|
| gptkbp:architecture |
encoder-decoder
|
| gptkbp:basedOn |
gptkb:U-Net
|
| gptkbp:citation |
high
|
| gptkbp:field |
computer vision
medical imaging |
| https://www.w3.org/2000/01/rdf-schema#label |
Attention U-Net
|
| gptkbp:improves |
segmentation accuracy
|
| gptkbp:input |
gptkb:illustrator
|
| gptkbp:openSource |
gptkb:GitHub
|
| gptkbp:output |
segmentation mask
|
| gptkbp:proposedBy |
Oktay et al.
|
| gptkbp:publishedIn |
gptkb:MICCAI_2018
|
| gptkbp:type |
gated attention
|
| gptkbp:usedFor |
medical image segmentation
|
| gptkbp:uses |
attention mechanism
|
| gptkbp:bfsParent |
gptkb:U-Net
|
| gptkbp:bfsLayer |
6
|