We propose C2FTrans, a novel multi-scale architecture that formulates medical image segmentation as a coarse-to-fine procedure.
To address this problem, we propose C2FTrans, a novel multi-scale architecture that formulates medical image segmentation as a coarse-to-fine procedure.
Jul 7, 2022 · Invention of a new transformer architecture, namely Coarse-to-Fine Transformer (C2FTrans), in medical image segmentation. C2FTrans consists of a ...
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Medical Transformer: Gated Axial-Attention for Medical ... arXive 2022, C2FTrans: Coarse-to-Fine Transformers for Medical Image Segmentation [pdf] [code].
C2FTrans: Coarse-to-Fine Transformers for Medical Image Segmentation · Attention-Based Two-Branch Hybrid Fusion Network for Medical Image Segmentation · CTransNet ...
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C2FTrans: Coarse-to-Fine Transformers for Medical Image Segmentation · Xiangru LinZengqiang YanLi YuKwang-Ting Cheng. Computer Science, Medicine. ArXiv. 2022.
To address this problem, we propose C2FTrans, a novel multi-scale architecture that formulates medical image segmentation as a coarse-to-fine procedure.
[PDF] Affine Medical Image Registration With Coarse-To-Fine Vision ...
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In this paper, we present a fast and robust learning-based algorithm, Coarse- to-Fine Vision Transformer (C2FViT), for 3D affine medi- cal image registration.
Jul 7, 2023 · Our NICE-Trans is the first deep registration method that (i) performs joint affine and deformable coarse-to-fine registration within a single network.
Missing: C2FTrans: Segmentation.
We aim in this paper to present, a recent review of a specific family of deep learning-based medical image registration methods which is Transformer-based ...