FRINK Linked Data Fragments server

Matches in SemOpenAlex for { <https://semopenalex.org/work/W3178446512> ?p ?o ?g. }

• W3178446512 endingPage "e0253056" @default.
• W3178446512 startingPage "e0253056" @default.
• W3178446512 abstract "Segmentation of retinal vessels is important for doctors to diagnose some diseases. The segmentation accuracy of retinal vessels can be effectively improved by using deep learning methods. However, most of the existing methods are incomplete for shallow feature extraction, and some superficial features are lost, resulting in blurred vessel boundaries and inaccurate segmentation of capillaries in the segmentation results. At the same time, the “layer-by-layer” information fusion between encoder and decoder makes the feature information extracted from the shallow layer of the network cannot be smoothly transferred to the deep layer of the network, resulting in noise in the segmentation features. In this paper, we propose the MFI-Net (Multi-resolution fusion input network) network model to alleviate the above problem to a certain extent. The multi-resolution input module in MFI-Net avoids the loss of coarse-grained feature information in the shallow layer by extracting local and global feature information in different resolutions. We have reconsidered the information fusion method between the encoder and the decoder, and used the information aggregation method to alleviate the information isolation between the shallow and deep layers of the network. MFI-Net is verified on three datasets, DRIVE, CHASE_DB1 and STARE. The experimental results show that our network is at a high level in several metrics, with F1 higher than U-Net by 2.42%, 2.46% and 1.61%, higher than R2U-Net by 1.47%, 2.22% and 0.08%, respectively. Finally, this paper proves the robustness of MFI-Net through experiments and discussions on the stability and generalization ability of MFI-Net." @default.
• W3178446512 created "2021-07-19" @default.
• W3178446512 creator A5005516772 @default.
• W3178446512 creator A5051700680 @default.
• W3178446512 creator A5061256611 @default.
• W3178446512 creator A5071911692 @default.
• W3178446512 creator A5085556321 @default.
• W3178446512 date "2021-07-12" @default.
• W3178446512 modified "2023-10-18" @default.
• W3178446512 title "MFI-Net: A multi-resolution fusion input network for retinal vessel segmentation" @default.
• W3178446512 cites W1901129140 @default.
• W3178446512 cites W1903029394 @default.
• W3178446512 cites W2042492924 @default.
• W3178446512 cites W2045227075 @default.
• W3178446512 cites W2051578148 @default.
• W3178446512 cites W2072130234 @default.
• W3178446512 cites W2100495367 @default.
• W3178446512 cites W2145305441 @default.
• W3178446512 cites W2148284840 @default.
• W3178446512 cites W2150769593 @default.
• W3178446512 cites W2194775991 @default.
• W3178446512 cites W2206167351 @default.
• W3178446512 cites W2279040869 @default.
• W3178446512 cites W2327793514 @default.
• W3178446512 cites W2412782625 @default.
• W3178446512 cites W2436226714 @default.
• W3178446512 cites W2490270993 @default.
• W3178446512 cites W2794329395 @default.
• W3178446512 cites W2884585870 @default.
• W3178446512 cites W2893691907 @default.
• W3178446512 cites W2898910301 @default.
• W3178446512 cites W2923524561 @default.
• W3178446512 cites W2940427983 @default.
• W3178446512 cites W2964217532 @default.
• W3178446512 cites W2965167740 @default.
• W3178446512 cites W2972096900 @default.
• W3178446512 cites W2980185997 @default.
• W3178446512 cites W2980269695 @default.
• W3178446512 cites W2996290406 @default.
• W3178446512 cites W3006026428 @default.
• W3178446512 cites W3010066814 @default.
• W3178446512 cites W3027519656 @default.
• W3178446512 cites W3043116777 @default.
• W3178446512 cites W3116525667 @default.
• W3178446512 doi "https://doi.org/10.1371/journal.pone.0253056" @default.
• W3178446512 hasPubMedCentralId "https://www.ncbi.nlm.nih.gov/pmc/articles/8274903" @default.
• W3178446512 hasPubMedId "https://pubmed.ncbi.nlm.nih.gov/34252111" @default.
• W3178446512 hasPublicationYear "2021" @default.
• W3178446512 type Work @default.
• W3178446512 sameAs 3178446512 @default.
• W3178446512 citedByCount "9" @default.
• W3178446512 countsByYear W31784465122021 @default.
• W3178446512 countsByYear W31784465122022 @default.
• W3178446512 countsByYear W31784465122023 @default.
• W3178446512 crossrefType "journal-article" @default.
• W3178446512 hasAuthorship W3178446512A5005516772 @default.
• W3178446512 hasAuthorship W3178446512A5051700680 @default.
• W3178446512 hasAuthorship W3178446512A5061256611 @default.
• W3178446512 hasAuthorship W3178446512A5071911692 @default.
• W3178446512 hasAuthorship W3178446512A5085556321 @default.
• W3178446512 hasBestOaLocation W31784465121 @default.
• W3178446512 hasConcept C104317684 @default.
• W3178446512 hasConcept C108583219 @default.
• W3178446512 hasConcept C111919701 @default.
• W3178446512 hasConcept C118505674 @default.
• W3178446512 hasConcept C138885662 @default.
• W3178446512 hasConcept C153180895 @default.
• W3178446512 hasConcept C154945302 @default.
• W3178446512 hasConcept C185592680 @default.
• W3178446512 hasConcept C2776401178 @default.
• W3178446512 hasConcept C31972630 @default.
• W3178446512 hasConcept C41008148 @default.
• W3178446512 hasConcept C41895202 @default.
• W3178446512 hasConcept C52622490 @default.
• W3178446512 hasConcept C55493867 @default.
• W3178446512 hasConcept C63479239 @default.
• W3178446512 hasConcept C89600930 @default.
• W3178446512 hasConceptScore W3178446512C104317684 @default.
• W3178446512 hasConceptScore W3178446512C108583219 @default.
• W3178446512 hasConceptScore W3178446512C111919701 @default.
• W3178446512 hasConceptScore W3178446512C118505674 @default.
• W3178446512 hasConceptScore W3178446512C138885662 @default.
• W3178446512 hasConceptScore W3178446512C153180895 @default.
• W3178446512 hasConceptScore W3178446512C154945302 @default.
• W3178446512 hasConceptScore W3178446512C185592680 @default.
• W3178446512 hasConceptScore W3178446512C2776401178 @default.
• W3178446512 hasConceptScore W3178446512C31972630 @default.
• W3178446512 hasConceptScore W3178446512C41008148 @default.
• W3178446512 hasConceptScore W3178446512C41895202 @default.
• W3178446512 hasConceptScore W3178446512C52622490 @default.
• W3178446512 hasConceptScore W3178446512C55493867 @default.
• W3178446512 hasConceptScore W3178446512C63479239 @default.
• W3178446512 hasConceptScore W3178446512C89600930 @default.
• W3178446512 hasFunder F4320321001 @default.
• W3178446512 hasIssue "7" @default.
• W3178446512 hasLocation W31784465121 @default.
• W3178446512 hasLocation W31784465122 @default.
• W3178446512 hasLocation W31784465123 @default.

• next