Matches in SemOpenAlex for { <https://semopenalex.org/work/W3208486703> ?p ?o ?g. }
Showing items 1 to 88 of
88
with 100 items per page.
- W3208486703 abstract "This work presents an intuitive method to detect in the early stage the pancreatic neuroendocrine tumors (PNETs), a group of endocrine tumors arising in the pancreas, which are the second common type of pancreatic cancer, by checking the abdominal CT scans. To the best of our knowledge, this task has not been studied before as a computational task. To provide radiologists with tumor locations, we adopt a segmentation framework to classify CT volumes by checking if at least a sufficient number of voxels is segmented as tumors. To quantitatively analyze our method, we collect and voxelwisely label a new abdominal CT dataset containing 376 cases with both arterial and venous phases available for each case, in which 228 cases were diagnosed with PNETs while the remaining 148 cases are normal, which is currently the largest dataset for PNETs to the best of our knowledge. In order to incorporate rich knowledge from radiologists to our framework, we annotate dilated pancreatic duct as well, which is regarded as an abnormality indicator. Quantitatively, our approach outperforms state-of-the-art segmentation networks and achieves a sensitivity of 89.47% at a specificity of 81.08%, which indicates a potential direction to achieve a clinical impact related to cancer diagnosis by earlier tumor detection." @default.
- W3208486703 created "2021-11-08" @default.
- W3208486703 creator A5020241070 @default.
- W3208486703 creator A5048353325 @default.
- W3208486703 creator A5069972117 @default.
- W3208486703 creator A5081352580 @default.
- W3208486703 creator A5086706224 @default.
- W3208486703 date "2021-10-01" @default.
- W3208486703 modified "2023-09-27" @default.
- W3208486703 title "Segmentation for Classification of Screening Pancreatic Neuroendocrine Tumors" @default.
- W3208486703 cites W1901129140 @default.
- W3208486703 cites W2469107318 @default.
- W3208486703 cites W2524399695 @default.
- W3208486703 cites W2705158815 @default.
- W3208486703 cites W2962914239 @default.
- W3208486703 cites W2979458288 @default.
- W3208486703 cites W3104390926 @default.
- W3208486703 cites W4250482878 @default.
- W3208486703 doi "https://doi.org/10.1109/iccvw54120.2021.00379" @default.
- W3208486703 hasPublicationYear "2021" @default.
- W3208486703 type Work @default.
- W3208486703 sameAs 3208486703 @default.
- W3208486703 citedByCount "4" @default.
- W3208486703 countsByYear W32084867032020 @default.
- W3208486703 countsByYear W32084867032021 @default.
- W3208486703 countsByYear W32084867032022 @default.
- W3208486703 countsByYear W32084867032023 @default.
- W3208486703 crossrefType "proceedings-article" @default.
- W3208486703 hasAuthorship W3208486703A5020241070 @default.
- W3208486703 hasAuthorship W3208486703A5048353325 @default.
- W3208486703 hasAuthorship W3208486703A5069972117 @default.
- W3208486703 hasAuthorship W3208486703A5081352580 @default.
- W3208486703 hasAuthorship W3208486703A5086706224 @default.
- W3208486703 hasBestOaLocation W32084867032 @default.
- W3208486703 hasConcept C118552586 @default.
- W3208486703 hasConcept C121608353 @default.
- W3208486703 hasConcept C126322002 @default.
- W3208486703 hasConcept C126838900 @default.
- W3208486703 hasConcept C142724271 @default.
- W3208486703 hasConcept C154945302 @default.
- W3208486703 hasConcept C162324750 @default.
- W3208486703 hasConcept C187736073 @default.
- W3208486703 hasConcept C2778764654 @default.
- W3208486703 hasConcept C2779066768 @default.
- W3208486703 hasConcept C2779960720 @default.
- W3208486703 hasConcept C2780210213 @default.
- W3208486703 hasConcept C2780451532 @default.
- W3208486703 hasConcept C41008148 @default.
- W3208486703 hasConcept C50965678 @default.
- W3208486703 hasConcept C54170458 @default.
- W3208486703 hasConcept C71924100 @default.
- W3208486703 hasConcept C89600930 @default.
- W3208486703 hasConceptScore W3208486703C118552586 @default.
- W3208486703 hasConceptScore W3208486703C121608353 @default.
- W3208486703 hasConceptScore W3208486703C126322002 @default.
- W3208486703 hasConceptScore W3208486703C126838900 @default.
- W3208486703 hasConceptScore W3208486703C142724271 @default.
- W3208486703 hasConceptScore W3208486703C154945302 @default.
- W3208486703 hasConceptScore W3208486703C162324750 @default.
- W3208486703 hasConceptScore W3208486703C187736073 @default.
- W3208486703 hasConceptScore W3208486703C2778764654 @default.
- W3208486703 hasConceptScore W3208486703C2779066768 @default.
- W3208486703 hasConceptScore W3208486703C2779960720 @default.
- W3208486703 hasConceptScore W3208486703C2780210213 @default.
- W3208486703 hasConceptScore W3208486703C2780451532 @default.
- W3208486703 hasConceptScore W3208486703C41008148 @default.
- W3208486703 hasConceptScore W3208486703C50965678 @default.
- W3208486703 hasConceptScore W3208486703C54170458 @default.
- W3208486703 hasConceptScore W3208486703C71924100 @default.
- W3208486703 hasConceptScore W3208486703C89600930 @default.
- W3208486703 hasLocation W32084867031 @default.
- W3208486703 hasLocation W32084867032 @default.
- W3208486703 hasOpenAccess W3208486703 @default.
- W3208486703 hasPrimaryLocation W32084867031 @default.
- W3208486703 hasRelatedWork W118753260 @default.
- W3208486703 hasRelatedWork W2041273352 @default.
- W3208486703 hasRelatedWork W2066490844 @default.
- W3208486703 hasRelatedWork W2351187724 @default.
- W3208486703 hasRelatedWork W2673946014 @default.
- W3208486703 hasRelatedWork W2894653068 @default.
- W3208486703 hasRelatedWork W2995235370 @default.
- W3208486703 hasRelatedWork W4233596944 @default.
- W3208486703 hasRelatedWork W4315619092 @default.
- W3208486703 hasRelatedWork W4319350110 @default.
- W3208486703 isParatext "false" @default.
- W3208486703 isRetracted "false" @default.
- W3208486703 magId "3208486703" @default.
- W3208486703 workType "article" @default.