FRINK Linked Data Fragments server

Matches in SemOpenAlex for { <https://semopenalex.org/work/W4229062227> ?p ?o ?g. }

• W4229062227 endingPage "960" @default.
• W4229062227 startingPage "953" @default.
• W4229062227 abstract "Surgical workflow estimation techniques aim to divide a surgical video into temporal segments based on predefined surgical actions or objectives, which can be of different granularity such as steps or phases. Potential applications range from real-time intra-operative feedback to automatic post-operative reports and analysis. A common approach in the literature for performing automatic surgical phase estimation is to decouple the problem into two stages: feature extraction from a single frame and temporal feature fusion. This approach is performed in two stages due to computational restrictions when processing large spatio-temporal sequences.The majority of existing works focus on pushing the performance solely through temporal model development. Differently, we follow a data-centric approach and propose a training pipeline that enables models to maximise the usage of existing datasets, which are generally used in isolation. Specifically, we use dense phase annotations available in Cholec80, and sparse scene (i.e., instrument and anatomy) segmentation annotation available in CholecSeg8k in less than 5% of the overlapping frames. We propose a simple multi-task encoder that effectively fuses both streams, when available, based on their importance and jointly optimise them for performing accurate phase prediction.We show that with a small fraction of scene segmentation annotations, a relatively simple model can obtain comparable results than previous state-of-the-art and more complex architectures when evaluated in similar settings. We hope that this data-centric approach can encourage new research directions where data, and how to use it, plays an important role along with model development." @default.
• W4229062227 created "2022-05-08" @default.
• W4229062227 creator A5004212009 @default.
• W4229062227 creator A5024286139 @default.
• W4229062227 creator A5032823221 @default.
• W4229062227 creator A5069643347 @default.
• W4229062227 creator A5077630267 @default.
• W4229062227 date "2022-05-01" @default.
• W4229062227 modified "2023-10-05" @default.
• W4229062227 title "Data-centric multi-task surgical phase estimation with sparse scene segmentation" @default.
• W4229062227 cites W2064675550 @default.
• W4229062227 cites W2266464013 @default.
• W4229062227 cites W2510642588 @default.
• W4229062227 cites W2580456502 @default.
• W4229062227 cites W2963853051 @default.
• W4229062227 cites W2979797179 @default.
• W4229062227 cites W3010209635 @default.
• W4229062227 cites W3034971973 @default.
• W4229062227 cites W3083550439 @default.
• W4229062227 cites W3092562667 @default.
• W4229062227 cites W3100964249 @default.
• W4229062227 cites W3203204495 @default.
• W4229062227 cites W3203477409 @default.
• W4229062227 cites W3212407416 @default.
• W4229062227 doi "https://doi.org/10.1007/s11548-022-02616-0" @default.
• W4229062227 hasPubMedId "https://pubmed.ncbi.nlm.nih.gov/35505149" @default.
• W4229062227 hasPublicationYear "2022" @default.
• W4229062227 type Work @default.
• W4229062227 citedByCount "4" @default.
• W4229062227 countsByYear W42290622272022 @default.
• W4229062227 countsByYear W42290622272023 @default.
• W4229062227 crossrefType "journal-article" @default.
• W4229062227 hasAuthorship W4229062227A5004212009 @default.
• W4229062227 hasAuthorship W4229062227A5024286139 @default.
• W4229062227 hasAuthorship W4229062227A5032823221 @default.
• W4229062227 hasAuthorship W4229062227A5069643347 @default.
• W4229062227 hasAuthorship W4229062227A5077630267 @default.
• W4229062227 hasBestOaLocation W42290622271 @default.
• W4229062227 hasConcept C111919701 @default.
• W4229062227 hasConcept C118505674 @default.
• W4229062227 hasConcept C119857082 @default.
• W4229062227 hasConcept C120665830 @default.
• W4229062227 hasConcept C121332964 @default.
• W4229062227 hasConcept C124101348 @default.
• W4229062227 hasConcept C138885662 @default.
• W4229062227 hasConcept C153180895 @default.
• W4229062227 hasConcept C154945302 @default.
• W4229062227 hasConcept C162324750 @default.
• W4229062227 hasConcept C177212765 @default.
• W4229062227 hasConcept C187736073 @default.
• W4229062227 hasConcept C192209626 @default.
• W4229062227 hasConcept C199360897 @default.
• W4229062227 hasConcept C2776321320 @default.
• W4229062227 hasConcept C2776401178 @default.
• W4229062227 hasConcept C2780451532 @default.
• W4229062227 hasConcept C31972630 @default.
• W4229062227 hasConcept C41008148 @default.
• W4229062227 hasConcept C41895202 @default.
• W4229062227 hasConcept C43521106 @default.
• W4229062227 hasConcept C77088390 @default.
• W4229062227 hasConcept C89600930 @default.
• W4229062227 hasConceptScore W4229062227C111919701 @default.
• W4229062227 hasConceptScore W4229062227C118505674 @default.
• W4229062227 hasConceptScore W4229062227C119857082 @default.
• W4229062227 hasConceptScore W4229062227C120665830 @default.
• W4229062227 hasConceptScore W4229062227C121332964 @default.
• W4229062227 hasConceptScore W4229062227C124101348 @default.
• W4229062227 hasConceptScore W4229062227C138885662 @default.
• W4229062227 hasConceptScore W4229062227C153180895 @default.
• W4229062227 hasConceptScore W4229062227C154945302 @default.
• W4229062227 hasConceptScore W4229062227C162324750 @default.
• W4229062227 hasConceptScore W4229062227C177212765 @default.
• W4229062227 hasConceptScore W4229062227C187736073 @default.
• W4229062227 hasConceptScore W4229062227C192209626 @default.
• W4229062227 hasConceptScore W4229062227C199360897 @default.
• W4229062227 hasConceptScore W4229062227C2776321320 @default.
• W4229062227 hasConceptScore W4229062227C2776401178 @default.
• W4229062227 hasConceptScore W4229062227C2780451532 @default.
• W4229062227 hasConceptScore W4229062227C31972630 @default.
• W4229062227 hasConceptScore W4229062227C41008148 @default.
• W4229062227 hasConceptScore W4229062227C41895202 @default.
• W4229062227 hasConceptScore W4229062227C43521106 @default.
• W4229062227 hasConceptScore W4229062227C77088390 @default.
• W4229062227 hasConceptScore W4229062227C89600930 @default.
• W4229062227 hasIssue "5" @default.
• W4229062227 hasLocation W42290622271 @default.
• W4229062227 hasLocation W42290622272 @default.
• W4229062227 hasLocation W42290622273 @default.
• W4229062227 hasLocation W42290622274 @default.
• W4229062227 hasLocation W42290622275 @default.
• W4229062227 hasOpenAccess W4229062227 @default.
• W4229062227 hasPrimaryLocation W42290622271 @default.
• W4229062227 hasRelatedWork W1669643531 @default.
• W4229062227 hasRelatedWork W1982826852 @default.
• W4229062227 hasRelatedWork W2005437358 @default.
• W4229062227 hasRelatedWork W2008656436 @default.
• W4229062227 hasRelatedWork W2023558673 @default.
• W4229062227 hasRelatedWork W2110230079 @default.

• next