nnFormer : Volumetric Medical Image Segmentation via a 3D Transformer
Transformer, the model of choice for natural language processing, has drawn scant attention from the medical imaging community. Given the ability to exploit long-term dependencies, transformers are promising to help atypical convolutional neural networks to learn more contextualized visual represent...
Ausführliche Beschreibung
Bibliographische Detailangaben
| Veröffentlicht in: | IEEE transactions on image processing : a publication of the IEEE Signal Processing Society. - 1992. - 32(2023) vom: 13., Seite 4036-4045
|
|---|
| 1. Verfasser: |
Zhou, Hong-Yu
(VerfasserIn) |
|---|
| Weitere Verfasser: |
Guo, Jiansen,
Zhang, Yinghao,
Han, Xiaoguang,
Yu, Lequan,
Wang, Liansheng,
Yu, Yizhou |
|---|
| Format: | Online-Aufsatz
|
|---|
| Sprache: | English |
|---|
| Veröffentlicht: |
2023
|
|---|
| Zugriff auf das übergeordnete Werk: | IEEE transactions on image processing : a publication of the IEEE Signal Processing Society
|
|---|
| Schlagworte: | Journal Article |
|---|