ResViT: Residual Vision Transformers for Multimodal Medical Image Synthesis
Generative adversarial models with convolutional neural network (CNN) backbones have recently been established as state-of-the-art in numerous medical image synthesis tasks. However, CNNs are designed to perform local processing with compact filters, and this inductive bias compromises learning of c...
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Published in | IEEE transactions on medical imaging Vol. 41; no. 10; pp. 2598 - 2614 |
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Main Authors | , , |
Format | Journal Article |
Language | English |
Published |
New York
IEEE
01.10.2022
The Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
Subjects | |
Online Access | Get full text |
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