Matches in SemOpenAlex for { <https://semopenalex.org/work/W2890429504> ?p ?o ?g. }
Showing items 1 to 67 of
67
with 100 items per page.
- W2890429504 abstract "Deep convolutional neural networks (DCNN) are applied widely in image recognition and segmentation. In this paper, a novel algorithm (U-SMM) which incorporates the convolutional neural network U-net and modified Student's- $t$ mixture model (MSMM) is provided. The proposed framework considers the spatial relationships in segmenting medical images with MSMM and then uses U-net to correct the mistake labels made by unsupervised method. Because a few error-segmented regions may be caused by MSMM, the U-net is then applied to learn the features of these regions. In our method, the purpose of U-net is to assist the MSMM in improving the accuracy of segmentation and acquiring rich details in image segmentation tasks. Finally, the proposed framework is evaluated on real MR images with several related supervised and unsupervised methods, and the experimental results confirm the effectiveness of our approach." @default.
- W2890429504 created "2018-09-27" @default.
- W2890429504 creator A5005274186 @default.
- W2890429504 creator A5038674990 @default.
- W2890429504 date "2018-10-01" @default.
- W2890429504 modified "2023-09-28" @default.
- W2890429504 title "A Fusion Algorithm: Fully Convolutional Networks and Student'S-<tex>$T$</tex> Mixture Model for Brain Magnetic Resonance Imaging Segmentation" @default.
- W2890429504 cites W1901129140 @default.
- W2890429504 cites W1987869189 @default.
- W2890429504 cites W2018017287 @default.
- W2890429504 cites W2125898777 @default.
- W2890429504 cites W2167510172 @default.
- W2890429504 cites W2395611524 @default.
- W2890429504 cites W2515060107 @default.
- W2890429504 cites W2528332074 @default.
- W2890429504 cites W2553444198 @default.
- W2890429504 cites W3104258355 @default.
- W2890429504 doi "https://doi.org/10.1109/icip.2018.8451615" @default.
- W2890429504 hasPublicationYear "2018" @default.
- W2890429504 type Work @default.
- W2890429504 sameAs 2890429504 @default.
- W2890429504 citedByCount "3" @default.
- W2890429504 countsByYear W28904295042019 @default.
- W2890429504 countsByYear W28904295042020 @default.
- W2890429504 countsByYear W28904295042022 @default.
- W2890429504 crossrefType "proceedings-article" @default.
- W2890429504 hasAuthorship W2890429504A5005274186 @default.
- W2890429504 hasAuthorship W2890429504A5038674990 @default.
- W2890429504 hasConcept C115961682 @default.
- W2890429504 hasConcept C124504099 @default.
- W2890429504 hasConcept C125308379 @default.
- W2890429504 hasConcept C144133560 @default.
- W2890429504 hasConcept C153180895 @default.
- W2890429504 hasConcept C154945302 @default.
- W2890429504 hasConcept C162853370 @default.
- W2890429504 hasConcept C31972630 @default.
- W2890429504 hasConcept C41008148 @default.
- W2890429504 hasConcept C81363708 @default.
- W2890429504 hasConcept C89600930 @default.
- W2890429504 hasConceptScore W2890429504C115961682 @default.
- W2890429504 hasConceptScore W2890429504C124504099 @default.
- W2890429504 hasConceptScore W2890429504C125308379 @default.
- W2890429504 hasConceptScore W2890429504C144133560 @default.
- W2890429504 hasConceptScore W2890429504C153180895 @default.
- W2890429504 hasConceptScore W2890429504C154945302 @default.
- W2890429504 hasConceptScore W2890429504C162853370 @default.
- W2890429504 hasConceptScore W2890429504C31972630 @default.
- W2890429504 hasConceptScore W2890429504C41008148 @default.
- W2890429504 hasConceptScore W2890429504C81363708 @default.
- W2890429504 hasConceptScore W2890429504C89600930 @default.
- W2890429504 hasLocation W28904295041 @default.
- W2890429504 hasOpenAccess W2890429504 @default.
- W2890429504 hasPrimaryLocation W28904295041 @default.
- W2890429504 hasRelatedWork W2131010266 @default.
- W2890429504 hasRelatedWork W2281050238 @default.
- W2890429504 hasRelatedWork W2342591535 @default.
- W2890429504 hasRelatedWork W2415731916 @default.
- W2890429504 hasRelatedWork W2765643166 @default.
- W2890429504 hasRelatedWork W2994347668 @default.
- W2890429504 hasRelatedWork W2995422253 @default.
- W2890429504 hasRelatedWork W3095523211 @default.
- W2890429504 hasRelatedWork W3198323177 @default.
- W2890429504 hasRelatedWork W3217303622 @default.
- W2890429504 isParatext "false" @default.
- W2890429504 isRetracted "false" @default.
- W2890429504 magId "2890429504" @default.
- W2890429504 workType "article" @default.