Matches in SemOpenAlex for { <https://semopenalex.org/work/W4387211282> ?p ?o ?g. }
Showing items 1 to 98 of
98
with 100 items per page.
- W4387211282 endingPage "571" @default.
- W4387211282 startingPage "562" @default.
- W4387211282 abstract "PURPOSE: The use of intra-operative mass spectrometry along with Graph Transformer models showed promising results for margin detection on ex-vivo data. Although highly interpretable, these methods lack the ability to handle the uncertainty associated with intra-operative decision making. In this paper for the first time, we propose Evidential Graph Transformer network, a combination of attention mapping and uncertainty estimation to increase the performance and interpretability of surgical margin assessment. METHODS: The Evidential Graph Transformer was formulated to output the uncertainty estimation along with intermediate attentions. The performance of the model was compared with different baselines in an ex-vivo cross-validation scheme, with extensive ablation study. The association of the model with clinical features were explored. The model was further validated for a prospective ex-vivo data, as well as a breast conserving surgery intra-operative data. RESULTS: The purposed model outperformed all baselines, statistically significantly, with average balanced accuracy of 91.6%. When applied to intra-operative data, the purposed model improved the false positive rate of the baselines. The estimated attention distribution for status of different hormone receptors agreed with reported metabolic findings in the literature. CONCLUSION: Deployment of ex-vivo models is challenging due to the tissue heterogeneity of intra-operative data. The proposed Evidential Graph Transformer is a powerful tool that while providing the attention distribution of biochemical subbands, improve the surgical deployment power by providing decision confidence." @default.
- W4387211282 created "2023-10-01" @default.
- W4387211282 creator A5002749573 @default.
- W4387211282 creator A5011004341 @default.
- W4387211282 creator A5026941433 @default.
- W4387211282 creator A5038634249 @default.
- W4387211282 creator A5039528391 @default.
- W4387211282 creator A5040401197 @default.
- W4387211282 creator A5041571660 @default.
- W4387211282 creator A5046717505 @default.
- W4387211282 creator A5047978799 @default.
- W4387211282 creator A5065285863 @default.
- W4387211282 creator A5078370200 @default.
- W4387211282 creator A5078545925 @default.
- W4387211282 creator A5084753910 @default.
- W4387211282 date "2023-01-01" @default.
- W4387211282 modified "2023-10-01" @default.
- W4387211282 title "Bridging Ex-Vivo Training and Intra-operative Deployment for Surgical Margin Assessment with Evidential Graph Transformer" @default.
- W4387211282 cites W1595964303 @default.
- W4387211282 cites W1881540319 @default.
- W4387211282 cites W1896429920 @default.
- W4387211282 cites W2116731262 @default.
- W4387211282 cites W2143531394 @default.
- W4387211282 cites W2960128031 @default.
- W4387211282 cites W3131844474 @default.
- W4387211282 cites W3159603107 @default.
- W4387211282 cites W3165031368 @default.
- W4387211282 cites W3165215466 @default.
- W4387211282 cites W3180217530 @default.
- W4387211282 cites W3204337192 @default.
- W4387211282 cites W4234587807 @default.
- W4387211282 cites W4362486869 @default.
- W4387211282 doi "https://doi.org/10.1007/978-3-031-43990-2_53" @default.
- W4387211282 hasPublicationYear "2023" @default.
- W4387211282 type Work @default.
- W4387211282 citedByCount "0" @default.
- W4387211282 crossrefType "book-chapter" @default.
- W4387211282 hasAuthorship W4387211282A5002749573 @default.
- W4387211282 hasAuthorship W4387211282A5011004341 @default.
- W4387211282 hasAuthorship W4387211282A5026941433 @default.
- W4387211282 hasAuthorship W4387211282A5038634249 @default.
- W4387211282 hasAuthorship W4387211282A5039528391 @default.
- W4387211282 hasAuthorship W4387211282A5040401197 @default.
- W4387211282 hasAuthorship W4387211282A5041571660 @default.
- W4387211282 hasAuthorship W4387211282A5046717505 @default.
- W4387211282 hasAuthorship W4387211282A5047978799 @default.
- W4387211282 hasAuthorship W4387211282A5065285863 @default.
- W4387211282 hasAuthorship W4387211282A5078370200 @default.
- W4387211282 hasAuthorship W4387211282A5078545925 @default.
- W4387211282 hasAuthorship W4387211282A5084753910 @default.
- W4387211282 hasConcept C105339364 @default.
- W4387211282 hasConcept C111919701 @default.
- W4387211282 hasConcept C119857082 @default.
- W4387211282 hasConcept C121332964 @default.
- W4387211282 hasConcept C124101348 @default.
- W4387211282 hasConcept C150903083 @default.
- W4387211282 hasConcept C154945302 @default.
- W4387211282 hasConcept C165801399 @default.
- W4387211282 hasConcept C207001950 @default.
- W4387211282 hasConcept C26291073 @default.
- W4387211282 hasConcept C2781067378 @default.
- W4387211282 hasConcept C41008148 @default.
- W4387211282 hasConcept C62520636 @default.
- W4387211282 hasConcept C66322947 @default.
- W4387211282 hasConcept C86803240 @default.
- W4387211282 hasConceptScore W4387211282C105339364 @default.
- W4387211282 hasConceptScore W4387211282C111919701 @default.
- W4387211282 hasConceptScore W4387211282C119857082 @default.
- W4387211282 hasConceptScore W4387211282C121332964 @default.
- W4387211282 hasConceptScore W4387211282C124101348 @default.
- W4387211282 hasConceptScore W4387211282C150903083 @default.
- W4387211282 hasConceptScore W4387211282C154945302 @default.
- W4387211282 hasConceptScore W4387211282C165801399 @default.
- W4387211282 hasConceptScore W4387211282C207001950 @default.
- W4387211282 hasConceptScore W4387211282C26291073 @default.
- W4387211282 hasConceptScore W4387211282C2781067378 @default.
- W4387211282 hasConceptScore W4387211282C41008148 @default.
- W4387211282 hasConceptScore W4387211282C62520636 @default.
- W4387211282 hasConceptScore W4387211282C66322947 @default.
- W4387211282 hasConceptScore W4387211282C86803240 @default.
- W4387211282 hasLocation W43872112821 @default.
- W4387211282 hasOpenAccess W4387211282 @default.
- W4387211282 hasPrimaryLocation W43872112821 @default.
- W4387211282 hasRelatedWork W1986582023 @default.
- W4387211282 hasRelatedWork W3006943036 @default.
- W4387211282 hasRelatedWork W4200511449 @default.
- W4387211282 hasRelatedWork W4206534706 @default.
- W4387211282 hasRelatedWork W4229079080 @default.
- W4387211282 hasRelatedWork W4299487748 @default.
- W4387211282 hasRelatedWork W4385767940 @default.
- W4387211282 hasRelatedWork W4385957992 @default.
- W4387211282 hasRelatedWork W4385965371 @default.
- W4387211282 hasRelatedWork W4386025632 @default.
- W4387211282 isParatext "false" @default.
- W4387211282 isRetracted "false" @default.
- W4387211282 workType "book-chapter" @default.