UNETR

2000년 도입 · 논문 49편에서 사용

UNETR, or UNet Transformer, is a Transformer-based architecture for medical image segmentation that utilizes a pure transformer as the encoder to learn sequence representations of the input volume -- effectively capturing the global multi-scale information. The transformer encoder is directly connected to a decoder via skip connections at different resolutions like a U-Net to compute the final semantic segmentation output.

출처: UNETR: Transformers for 3D Medical Image Segmentation

소개 논문: UNETR: Transformers for 3D Medical Image Segmentation