nnFormer: Volumetric Medical Image Segmentation via a 3D Transformer

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 representations. However, most of recently proposed transformer-based segmentation approaches simply treated transformers as assisted modul...