Matches in SemOpenAlex for { <https://semopenalex.org/work/W4386352662> ?p ?o ?g. }
Showing items 1 to 85 of
85
with 100 items per page.
- W4386352662 abstract "Automatic online recognition of surgical phases can provide insight that can help surgical teams make better decisions that may lead to better surgical outcomes. Current state-of-the-art AI approaches for surgical phase recognition utilize both spatial and temporal information to learn context awareness in surgical videos. We propose the use of EfficientNetV2 for spatial feature extraction and we design Cross-Enhancement Causal Transformer (C-ECT) by modifying previous transformer-based architectures for temporal modeling to achieve online surgical phase recognition. Additionally, we propose Cross-Attention Feature Fusion (CAFF) to better integrate the global and local information in our C-ECT. We show that our approach can achieve 94.9% accuracy on the Cholec80 dataset which improves upon the current state-of-the-art method by approximately 3% in accuracy and precision, 2% in the recall, and 4% in terms of the Jaccard score." @default.
- W4386352662 created "2023-09-02" @default.
- W4386352662 creator A5011125764 @default.
- W4386352662 creator A5030261253 @default.
- W4386352662 creator A5038456675 @default.
- W4386352662 creator A5049183318 @default.
- W4386352662 creator A5053607773 @default.
- W4386352662 creator A5064963095 @default.
- W4386352662 creator A5075684269 @default.
- W4386352662 creator A5079596731 @default.
- W4386352662 date "2023-04-18" @default.
- W4386352662 modified "2023-09-27" @default.
- W4386352662 title "C-ECT: Online Surgical Phase Recognition with Cross-Enhancement Causal Transformer" @default.
- W4386352662 cites W2266464013 @default.
- W4386352662 cites W2413983136 @default.
- W4386352662 cites W2550143307 @default.
- W4386352662 cites W2565639579 @default.
- W4386352662 cites W2897587995 @default.
- W4386352662 cites W2963853051 @default.
- W4386352662 cites W2979536508 @default.
- W4386352662 cites W2979797179 @default.
- W4386352662 cites W3010209635 @default.
- W4386352662 cites W3092562667 @default.
- W4386352662 cites W3150630416 @default.
- W4386352662 cites W3179570119 @default.
- W4386352662 cites W3193657022 @default.
- W4386352662 cites W3201659970 @default.
- W4386352662 cites W3203204495 @default.
- W4386352662 cites W3215466375 @default.
- W4386352662 cites W4282969740 @default.
- W4386352662 doi "https://doi.org/10.1109/isbi53787.2023.10230841" @default.
- W4386352662 hasPublicationYear "2023" @default.
- W4386352662 type Work @default.
- W4386352662 citedByCount "0" @default.
- W4386352662 crossrefType "proceedings-article" @default.
- W4386352662 hasAuthorship W4386352662A5011125764 @default.
- W4386352662 hasAuthorship W4386352662A5030261253 @default.
- W4386352662 hasAuthorship W4386352662A5038456675 @default.
- W4386352662 hasAuthorship W4386352662A5049183318 @default.
- W4386352662 hasAuthorship W4386352662A5053607773 @default.
- W4386352662 hasAuthorship W4386352662A5064963095 @default.
- W4386352662 hasAuthorship W4386352662A5075684269 @default.
- W4386352662 hasAuthorship W4386352662A5079596731 @default.
- W4386352662 hasConcept C100660578 @default.
- W4386352662 hasConcept C119599485 @default.
- W4386352662 hasConcept C119857082 @default.
- W4386352662 hasConcept C127413603 @default.
- W4386352662 hasConcept C153180895 @default.
- W4386352662 hasConcept C154945302 @default.
- W4386352662 hasConcept C15744967 @default.
- W4386352662 hasConcept C165801399 @default.
- W4386352662 hasConcept C180747234 @default.
- W4386352662 hasConcept C203519979 @default.
- W4386352662 hasConcept C41008148 @default.
- W4386352662 hasConcept C52622490 @default.
- W4386352662 hasConcept C66322947 @default.
- W4386352662 hasConceptScore W4386352662C100660578 @default.
- W4386352662 hasConceptScore W4386352662C119599485 @default.
- W4386352662 hasConceptScore W4386352662C119857082 @default.
- W4386352662 hasConceptScore W4386352662C127413603 @default.
- W4386352662 hasConceptScore W4386352662C153180895 @default.
- W4386352662 hasConceptScore W4386352662C154945302 @default.
- W4386352662 hasConceptScore W4386352662C15744967 @default.
- W4386352662 hasConceptScore W4386352662C165801399 @default.
- W4386352662 hasConceptScore W4386352662C180747234 @default.
- W4386352662 hasConceptScore W4386352662C203519979 @default.
- W4386352662 hasConceptScore W4386352662C41008148 @default.
- W4386352662 hasConceptScore W4386352662C52622490 @default.
- W4386352662 hasConceptScore W4386352662C66322947 @default.
- W4386352662 hasLocation W43863526621 @default.
- W4386352662 hasOpenAccess W4386352662 @default.
- W4386352662 hasPrimaryLocation W43863526621 @default.
- W4386352662 hasRelatedWork W1964120219 @default.
- W4386352662 hasRelatedWork W2000165426 @default.
- W4386352662 hasRelatedWork W2114557664 @default.
- W4386352662 hasRelatedWork W2144059113 @default.
- W4386352662 hasRelatedWork W2146076056 @default.
- W4386352662 hasRelatedWork W2385132419 @default.
- W4386352662 hasRelatedWork W2441762250 @default.
- W4386352662 hasRelatedWork W2772780115 @default.
- W4386352662 hasRelatedWork W2811390910 @default.
- W4386352662 hasRelatedWork W3003836766 @default.
- W4386352662 isParatext "false" @default.
- W4386352662 isRetracted "false" @default.
- W4386352662 workType "article" @default.