FIF-UNet: An Efficient UNet Using Feature Interaction and Fusion for Medical Image Segmentation
FIF-UNet: An Efficient UNet Using Feature Interaction and Fusion for Medical Image Segmentation
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Author / Creator
Gou, Xiaolin , Liao, Chuanlin , Zhou, Jizhe , Ye, Fengshuo and Lin, Yi
Publisher
Ithaca: Cornell University Library, arXiv.org
Journal title
Language
English
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Publisher
Ithaca: Cornell University Library, arXiv.org
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Scope and Contents
Contents
Nowadays, pre-trained encoders are widely used in medical image segmentation because of their ability to capture complex feature representations. However, the existing models fail to effectively utilize the rich features obtained by the pre-trained encoder, resulting in suboptimal segmentation results. In this work, a novel U-shaped model, called F...
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Full title
FIF-UNet: An Efficient UNet Using Feature Interaction and Fusion for Medical Image Segmentation
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Record Identifier
TN_cdi_proquest_journals_3102579527
Permalink
https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_proquest_journals_3102579527
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E-ISSN
2331-8422
