Matches in SemOpenAlex for { <https://semopenalex.org/work/W4280498754> ?p ?o ?g. }
Showing items 1 to 92 of
92
with 100 items per page.
- W4280498754 abstract "Abstract Background Micronucleus (MN) is an abnormal fragment in a human cell caused by disorders in the mechanism regulating chromosome segregation. It can be used as a biomarker for genotoxicity, tumor risk, and tumor malignancy. The in vitro micronucleus assay is a commonly used method to detect micronucleus. However, it is time-consuming and the visual scoring can be inconsistent. Methods To alleviate this issue, we proposed a computer-aided diagnosis method combining convolutional neural networks and visual attention for micronucleus recognition. The backbone of our model is AlexNet without any dense layers and it is pretrained on the ImageNet dataset. Two attention modules are applied to extract cell image features and generate attention maps highlighting the region of interest to improve the interpretability of the network. Given the problems in the data set, we leverage data augmentation and focal loss to alleviate the impact. Results Experiments show that the proposed network yields better performance with fewer parameters. The AP value, F1 value and AUC value reach 0.932, 0.811 and 0.995, respectively. Conclusion In conclusion, the proposed network can effectively recognize micronucleus, and it can play an auxiliary role in clinical diagnosis by doctors." @default.
- W4280498754 created "2022-05-22" @default.
- W4280498754 creator A5031034950 @default.
- W4280498754 creator A5065324700 @default.
- W4280498754 creator A5078224431 @default.
- W4280498754 creator A5090807324 @default.
- W4280498754 date "2022-05-18" @default.
- W4280498754 modified "2023-10-18" @default.
- W4280498754 title "Automatic recognition of micronucleus by combining attention mechanism and AlexNet" @default.
- W4280498754 cites W2097117768 @default.
- W4280498754 cites W2159386603 @default.
- W4280498754 cites W2194775991 @default.
- W4280498754 cites W2742767715 @default.
- W4280498754 cites W2794022343 @default.
- W4280498754 cites W2884585870 @default.
- W4280498754 cites W2963351448 @default.
- W4280498754 cites W2964184998 @default.
- W4280498754 cites W2989028599 @default.
- W4280498754 cites W3041133507 @default.
- W4280498754 cites W3042826782 @default.
- W4280498754 cites W3048064838 @default.
- W4280498754 cites W3091878842 @default.
- W4280498754 cites W3092266641 @default.
- W4280498754 cites W3092743670 @default.
- W4280498754 cites W3107886162 @default.
- W4280498754 cites W3113244745 @default.
- W4280498754 cites W3118577024 @default.
- W4280498754 cites W3124244330 @default.
- W4280498754 cites W3133447805 @default.
- W4280498754 cites W3153976901 @default.
- W4280498754 cites W3163743050 @default.
- W4280498754 cites W3175314453 @default.
- W4280498754 doi "https://doi.org/10.1186/s12911-022-01875-w" @default.
- W4280498754 hasPubMedId "https://pubmed.ncbi.nlm.nih.gov/35585543" @default.
- W4280498754 hasPublicationYear "2022" @default.
- W4280498754 type Work @default.
- W4280498754 citedByCount "2" @default.
- W4280498754 countsByYear W42804987542023 @default.
- W4280498754 crossrefType "journal-article" @default.
- W4280498754 hasAuthorship W4280498754A5031034950 @default.
- W4280498754 hasAuthorship W4280498754A5065324700 @default.
- W4280498754 hasAuthorship W4280498754A5078224431 @default.
- W4280498754 hasAuthorship W4280498754A5090807324 @default.
- W4280498754 hasBestOaLocation W42804987541 @default.
- W4280498754 hasConcept C119857082 @default.
- W4280498754 hasConcept C126322002 @default.
- W4280498754 hasConcept C153083717 @default.
- W4280498754 hasConcept C153180895 @default.
- W4280498754 hasConcept C154945302 @default.
- W4280498754 hasConcept C2781067378 @default.
- W4280498754 hasConcept C29730261 @default.
- W4280498754 hasConcept C36681516 @default.
- W4280498754 hasConcept C41008148 @default.
- W4280498754 hasConcept C45080847 @default.
- W4280498754 hasConcept C50644808 @default.
- W4280498754 hasConcept C71924100 @default.
- W4280498754 hasConcept C81363708 @default.
- W4280498754 hasConceptScore W4280498754C119857082 @default.
- W4280498754 hasConceptScore W4280498754C126322002 @default.
- W4280498754 hasConceptScore W4280498754C153083717 @default.
- W4280498754 hasConceptScore W4280498754C153180895 @default.
- W4280498754 hasConceptScore W4280498754C154945302 @default.
- W4280498754 hasConceptScore W4280498754C2781067378 @default.
- W4280498754 hasConceptScore W4280498754C29730261 @default.
- W4280498754 hasConceptScore W4280498754C36681516 @default.
- W4280498754 hasConceptScore W4280498754C41008148 @default.
- W4280498754 hasConceptScore W4280498754C45080847 @default.
- W4280498754 hasConceptScore W4280498754C50644808 @default.
- W4280498754 hasConceptScore W4280498754C71924100 @default.
- W4280498754 hasConceptScore W4280498754C81363708 @default.
- W4280498754 hasFunder F4320312274 @default.
- W4280498754 hasFunder F4320325927 @default.
- W4280498754 hasIssue "1" @default.
- W4280498754 hasLocation W42804987541 @default.
- W4280498754 hasLocation W42804987542 @default.
- W4280498754 hasLocation W42804987543 @default.
- W4280498754 hasOpenAccess W4280498754 @default.
- W4280498754 hasPrimaryLocation W42804987541 @default.
- W4280498754 hasRelatedWork W3006943036 @default.
- W4280498754 hasRelatedWork W3023163568 @default.
- W4280498754 hasRelatedWork W4200511449 @default.
- W4280498754 hasRelatedWork W4206534706 @default.
- W4280498754 hasRelatedWork W4229079080 @default.
- W4280498754 hasRelatedWork W4287776258 @default.
- W4280498754 hasRelatedWork W4310880831 @default.
- W4280498754 hasRelatedWork W4385957992 @default.
- W4280498754 hasRelatedWork W4385965371 @default.
- W4280498754 hasRelatedWork W4386025632 @default.
- W4280498754 hasVolume "22" @default.
- W4280498754 isParatext "false" @default.
- W4280498754 isRetracted "false" @default.
- W4280498754 workType "article" @default.