Matches in SemOpenAlex for { <https://semopenalex.org/work/W4380632307> ?p ?o ?g. }
Showing items 1 to 69 of
69
with 100 items per page.
- W4380632307 endingPage "410" @default.
- W4380632307 startingPage "392" @default.
- W4380632307 abstract "The Transformer has been widely used for many tasks in NLP before, but there is still much room to explore the application of the Transformer to the image domain. In this paper, we propose a simple and efficient hybrid Transformer framework, CTransNet, which combines self-attention and CNN to improve medical image segmentation performance. Capturing long-range dependencies at different scales. To this end, this paper proposes an effective self-attention mechanism incorporating relative position information encoding, which can reduce the time complexity of self-attention from O(n2) to O(n), and a new self-attention decoder that can recover fine-grained features in encoder from skip connection. This paper aims to address the current dilemma of Transformer applications: i.e., the need to learn induction bias from large amounts of training data. The hybrid layer in CTransNet allows the Transformer to be initialized as a CNN without pre-training. We have evaluated the performance of CTransNet on several medical segmentation datasets. CTransNet shows superior segmentation performance, robustness, and great promise for generalization to other medical image segmentation tasks." @default.
- W4380632307 created "2023-06-15" @default.
- W4380632307 creator A5021901509 @default.
- W4380632307 creator A5034121567 @default.
- W4380632307 creator A5057260498 @default.
- W4380632307 date "2023-01-01" @default.
- W4380632307 modified "2023-09-23" @default.
- W4380632307 title "CTransNet: Convolutional Neural Network Combined with Transformer for Medical Image Segmentation" @default.
- W4380632307 doi "https://doi.org/10.31577/cai_2023_2_392" @default.
- W4380632307 hasPublicationYear "2023" @default.
- W4380632307 type Work @default.
- W4380632307 citedByCount "0" @default.
- W4380632307 crossrefType "journal-article" @default.
- W4380632307 hasAuthorship W4380632307A5021901509 @default.
- W4380632307 hasAuthorship W4380632307A5034121567 @default.
- W4380632307 hasAuthorship W4380632307A5057260498 @default.
- W4380632307 hasBestOaLocation W43806323071 @default.
- W4380632307 hasConcept C104317684 @default.
- W4380632307 hasConcept C111919701 @default.
- W4380632307 hasConcept C118505674 @default.
- W4380632307 hasConcept C119599485 @default.
- W4380632307 hasConcept C124504099 @default.
- W4380632307 hasConcept C127413603 @default.
- W4380632307 hasConcept C153180895 @default.
- W4380632307 hasConcept C154945302 @default.
- W4380632307 hasConcept C165801399 @default.
- W4380632307 hasConcept C185592680 @default.
- W4380632307 hasConcept C41008148 @default.
- W4380632307 hasConcept C55493867 @default.
- W4380632307 hasConcept C63479239 @default.
- W4380632307 hasConcept C66322947 @default.
- W4380632307 hasConcept C81363708 @default.
- W4380632307 hasConcept C89600930 @default.
- W4380632307 hasConceptScore W4380632307C104317684 @default.
- W4380632307 hasConceptScore W4380632307C111919701 @default.
- W4380632307 hasConceptScore W4380632307C118505674 @default.
- W4380632307 hasConceptScore W4380632307C119599485 @default.
- W4380632307 hasConceptScore W4380632307C124504099 @default.
- W4380632307 hasConceptScore W4380632307C127413603 @default.
- W4380632307 hasConceptScore W4380632307C153180895 @default.
- W4380632307 hasConceptScore W4380632307C154945302 @default.
- W4380632307 hasConceptScore W4380632307C165801399 @default.
- W4380632307 hasConceptScore W4380632307C185592680 @default.
- W4380632307 hasConceptScore W4380632307C41008148 @default.
- W4380632307 hasConceptScore W4380632307C55493867 @default.
- W4380632307 hasConceptScore W4380632307C63479239 @default.
- W4380632307 hasConceptScore W4380632307C66322947 @default.
- W4380632307 hasConceptScore W4380632307C81363708 @default.
- W4380632307 hasConceptScore W4380632307C89600930 @default.
- W4380632307 hasIssue "2" @default.
- W4380632307 hasLocation W43806323071 @default.
- W4380632307 hasOpenAccess W4380632307 @default.
- W4380632307 hasPrimaryLocation W43806323071 @default.
- W4380632307 hasRelatedWork W2769435486 @default.
- W4380632307 hasRelatedWork W2897195263 @default.
- W4380632307 hasRelatedWork W2902084422 @default.
- W4380632307 hasRelatedWork W3024637412 @default.
- W4380632307 hasRelatedWork W3093612317 @default.
- W4380632307 hasRelatedWork W3102253946 @default.
- W4380632307 hasRelatedWork W3213778687 @default.
- W4380632307 hasRelatedWork W4200528772 @default.
- W4380632307 hasRelatedWork W4293211451 @default.
- W4380632307 hasRelatedWork W4308191152 @default.
- W4380632307 hasVolume "42" @default.
- W4380632307 isParatext "false" @default.
- W4380632307 isRetracted "false" @default.
- W4380632307 workType "article" @default.