Matches in SemOpenAlex for { <https://semopenalex.org/work/W2754864004> ?p ?o ?g. }
Showing items 1 to 83 of
83
with 100 items per page.
- W2754864004 abstract "In this work, we present a fully automated lung CT cancer diagnosis system, DeepLung. DeepLung contains two parts, nodule detection and classification. Considering the 3D nature of lung CT data, two 3D networks are designed for the nodule detection and classification respectively. Specifically, a 3D Faster R-CNN is designed for nodule detection with a U-net-like encoder-decoder structure to effectively learn nodule features. For nodule classification, gradient boosting machine (GBM) with 3D dual path network (DPN) features is proposed. The nodule classification subnetwork is validated on a public dataset from LIDC-IDRI, on which it achieves better performance than state-of-the-art approaches, and surpasses the average performance of four experienced doctors. For the DeepLung system, candidate nodules are detected first by the nodule detection subnetwork, and nodule diagnosis is conducted by the classification subnetwork. Extensive experimental results demonstrate the DeepLung is comparable to the experienced doctors both for the nodule-level and patient-level diagnosis on the LIDC-IDRI dataset." @default.
- W2754864004 created "2017-09-25" @default.
- W2754864004 creator A5013268903 @default.
- W2754864004 creator A5031854562 @default.
- W2754864004 creator A5038836690 @default.
- W2754864004 creator A5084618257 @default.
- W2754864004 date "2017-09-16" @default.
- W2754864004 modified "2023-10-16" @default.
- W2754864004 title "DeepLung: 3D Deep Convolutional Nets for Automated Pulmonary Nodule Detection and Classification" @default.
- W2754864004 cites W1901129140 @default.
- W2754864004 cites W1903029394 @default.
- W2754864004 cites W1986649315 @default.
- W2754864004 cites W2095660073 @default.
- W2754864004 cites W2108598243 @default.
- W2754864004 cites W2122751628 @default.
- W2754864004 cites W2132014319 @default.
- W2754864004 cites W2148076415 @default.
- W2754864004 cites W2164777277 @default.
- W2754864004 cites W2194775991 @default.
- W2754864004 cites W2322371438 @default.
- W2754864004 cites W2511730936 @default.
- W2754864004 cites W2525205678 @default.
- W2754864004 cites W2543630535 @default.
- W2754864004 cites W2584017349 @default.
- W2754864004 cites W2604463720 @default.
- W2754864004 cites W2725513608 @default.
- W2754864004 cites W2950253601 @default.
- W2754864004 cites W2950429734 @default.
- W2754864004 cites W2951548327 @default.
- W2754864004 cites W2951905825 @default.
- W2754864004 cites W2953106684 @default.
- W2754864004 cites W2953390309 @default.
- W2754864004 cites W2964275459 @default.
- W2754864004 doi "https://doi.org/10.48550/arxiv.1709.05538" @default.
- W2754864004 hasPublicationYear "2017" @default.
- W2754864004 type Work @default.
- W2754864004 sameAs 2754864004 @default.
- W2754864004 citedByCount "1" @default.
- W2754864004 countsByYear W27548640042023 @default.
- W2754864004 crossrefType "posted-content" @default.
- W2754864004 hasAuthorship W2754864004A5013268903 @default.
- W2754864004 hasAuthorship W2754864004A5031854562 @default.
- W2754864004 hasAuthorship W2754864004A5038836690 @default.
- W2754864004 hasAuthorship W2754864004A5084618257 @default.
- W2754864004 hasBestOaLocation W27548640041 @default.
- W2754864004 hasConcept C151730666 @default.
- W2754864004 hasConcept C153180895 @default.
- W2754864004 hasConcept C154945302 @default.
- W2754864004 hasConcept C169258074 @default.
- W2754864004 hasConcept C2776731575 @default.
- W2754864004 hasConcept C2780186347 @default.
- W2754864004 hasConcept C38652104 @default.
- W2754864004 hasConcept C41008148 @default.
- W2754864004 hasConcept C70153297 @default.
- W2754864004 hasConcept C86803240 @default.
- W2754864004 hasConceptScore W2754864004C151730666 @default.
- W2754864004 hasConceptScore W2754864004C153180895 @default.
- W2754864004 hasConceptScore W2754864004C154945302 @default.
- W2754864004 hasConceptScore W2754864004C169258074 @default.
- W2754864004 hasConceptScore W2754864004C2776731575 @default.
- W2754864004 hasConceptScore W2754864004C2780186347 @default.
- W2754864004 hasConceptScore W2754864004C38652104 @default.
- W2754864004 hasConceptScore W2754864004C41008148 @default.
- W2754864004 hasConceptScore W2754864004C70153297 @default.
- W2754864004 hasConceptScore W2754864004C86803240 @default.
- W2754864004 hasLocation W27548640041 @default.
- W2754864004 hasLocation W27548640042 @default.
- W2754864004 hasOpenAccess W2754864004 @default.
- W2754864004 hasPrimaryLocation W27548640041 @default.
- W2754864004 hasRelatedWork W1978450727 @default.
- W2754864004 hasRelatedWork W2033914206 @default.
- W2754864004 hasRelatedWork W2046077695 @default.
- W2754864004 hasRelatedWork W2146076056 @default.
- W2754864004 hasRelatedWork W2163831990 @default.
- W2754864004 hasRelatedWork W2378160586 @default.
- W2754864004 hasRelatedWork W2754864004 @default.
- W2754864004 hasRelatedWork W2963150920 @default.
- W2754864004 hasRelatedWork W3003836766 @default.
- W2754864004 hasRelatedWork W3107474891 @default.
- W2754864004 isParatext "false" @default.
- W2754864004 isRetracted "false" @default.
- W2754864004 magId "2754864004" @default.
- W2754864004 workType "article" @default.