Matches in SemOpenAlex for { <https://semopenalex.org/work/W2753053025> ?p ?o ?g. }
Showing items 1 to 85 of
85
with 100 items per page.
- W2753053025 endingPage "298" @default.
- W2753053025 startingPage "291" @default.
- W2753053025 abstract "To achieve whole-brain segmentation—i.e., classifying tissues within and immediately around the brain as gray matter (GM), white matter (WM), and cerebrospinal fluid—magnetic resonance (MR) imaging is nearly always used. However, there are many clinical scenarios where computed tomography (CT) is the only modality that is acquired and yet whole brain segmentation (and labeling) is desired. This is a very challenging task, primarily because CT has poor soft tissue contrast; very few segmentation methods have been reported to date and there are no reports on automatic labeling. This paper presents a whole brain segmentation and labeling method for non-contrast CT images that first uses a fully convolutional network (FCN) to synthesize an MR image from a CT image and then uses the synthetic MR image in a standard pipeline for whole brain segmentation and labeling. The FCN was trained on image patches derived from ten co-registered MR and CT images and the segmentation and labeling method was tested on sixteen CT scans in which co-registered MR images are available for performance evaluation. Results show excellent MR image synthesis from CT images and improved soft tissue segmentation and labeling over a multi-atlas segmentation approach." @default.
- W2753053025 created "2017-09-15" @default.
- W2753053025 creator A5013489602 @default.
- W2753053025 creator A5023371809 @default.
- W2753053025 creator A5066682675 @default.
- W2753053025 creator A5070998415 @default.
- W2753053025 creator A5075622613 @default.
- W2753053025 date "2017-01-01" @default.
- W2753053025 modified "2023-09-26" @default.
- W2753053025 title "Whole Brain Segmentation and Labeling from CT Using Synthetic MR Images" @default.
- W2753053025 cites W137654030 @default.
- W2753053025 cites W1641927727 @default.
- W2753053025 cites W1901129140 @default.
- W2753053025 cites W1971252501 @default.
- W2753053025 cites W2015897296 @default.
- W2753053025 cites W2087512379 @default.
- W2753053025 cites W2148157540 @default.
- W2753053025 cites W2150534249 @default.
- W2753053025 cites W2194775991 @default.
- W2753053025 cites W2301358467 @default.
- W2753053025 cites W2538369455 @default.
- W2753053025 cites W2593626777 @default.
- W2753053025 cites W2613483135 @default.
- W2753053025 cites W2963980515 @default.
- W2753053025 cites W3104258355 @default.
- W2753053025 cites W4241074797 @default.
- W2753053025 cites W66427752 @default.
- W2753053025 doi "https://doi.org/10.1007/978-3-319-67389-9_34" @default.
- W2753053025 hasPublicationYear "2017" @default.
- W2753053025 type Work @default.
- W2753053025 sameAs 2753053025 @default.
- W2753053025 citedByCount "32" @default.
- W2753053025 countsByYear W27530530252017 @default.
- W2753053025 countsByYear W27530530252018 @default.
- W2753053025 countsByYear W27530530252019 @default.
- W2753053025 countsByYear W27530530252020 @default.
- W2753053025 countsByYear W27530530252021 @default.
- W2753053025 countsByYear W27530530252022 @default.
- W2753053025 crossrefType "book-chapter" @default.
- W2753053025 hasAuthorship W2753053025A5013489602 @default.
- W2753053025 hasAuthorship W2753053025A5023371809 @default.
- W2753053025 hasAuthorship W2753053025A5066682675 @default.
- W2753053025 hasAuthorship W2753053025A5070998415 @default.
- W2753053025 hasAuthorship W2753053025A5075622613 @default.
- W2753053025 hasConcept C124504099 @default.
- W2753053025 hasConcept C126838900 @default.
- W2753053025 hasConcept C143409427 @default.
- W2753053025 hasConcept C153180895 @default.
- W2753053025 hasConcept C154945302 @default.
- W2753053025 hasConcept C2776502983 @default.
- W2753053025 hasConcept C2781192897 @default.
- W2753053025 hasConcept C31972630 @default.
- W2753053025 hasConcept C41008148 @default.
- W2753053025 hasConcept C71924100 @default.
- W2753053025 hasConcept C89600930 @default.
- W2753053025 hasConceptScore W2753053025C124504099 @default.
- W2753053025 hasConceptScore W2753053025C126838900 @default.
- W2753053025 hasConceptScore W2753053025C143409427 @default.
- W2753053025 hasConceptScore W2753053025C153180895 @default.
- W2753053025 hasConceptScore W2753053025C154945302 @default.
- W2753053025 hasConceptScore W2753053025C2776502983 @default.
- W2753053025 hasConceptScore W2753053025C2781192897 @default.
- W2753053025 hasConceptScore W2753053025C31972630 @default.
- W2753053025 hasConceptScore W2753053025C41008148 @default.
- W2753053025 hasConceptScore W2753053025C71924100 @default.
- W2753053025 hasConceptScore W2753053025C89600930 @default.
- W2753053025 hasLocation W27530530251 @default.
- W2753053025 hasOpenAccess W2753053025 @default.
- W2753053025 hasPrimaryLocation W27530530251 @default.
- W2753053025 hasRelatedWork W1669643531 @default.
- W2753053025 hasRelatedWork W1982826852 @default.
- W2753053025 hasRelatedWork W1987421842 @default.
- W2753053025 hasRelatedWork W2005437358 @default.
- W2753053025 hasRelatedWork W2008656436 @default.
- W2753053025 hasRelatedWork W2023558673 @default.
- W2753053025 hasRelatedWork W2110230079 @default.
- W2753053025 hasRelatedWork W2134924024 @default.
- W2753053025 hasRelatedWork W2517104666 @default.
- W2753053025 hasRelatedWork W2613186388 @default.
- W2753053025 isParatext "false" @default.
- W2753053025 isRetracted "false" @default.
- W2753053025 magId "2753053025" @default.
- W2753053025 workType "book-chapter" @default.