FRINK Linked Data Fragments server

Matches in SemOpenAlex for { <https://semopenalex.org/work/W4312857522> ?p ?o ?g. }

• W4312857522 endingPage "119083" @default.
• W4312857522 startingPage "119071" @default.
• W4312857522 abstract "Diabetic retinopathy (DR) is an essential factor that has caused vision loss and even blindness in middle-aged and older adults. A system that can automatically perform DR diagnosis can help ophthalmologists save a lot of tedious work, such as DR grading or lesion detection. At the same time, patients can find their diseases earlier and perform the correct treatment. However, most of the existing methods require many DR annotations to train the model, and the DR data will vary to different degrees due to various shooting tools. The above problems lead to the inefficient use of existing data in the experiment, limiting actual deployment. To alleviate this problem, we propose a novel Graph Adversarial Transfer Learning (GATL) for DR diagnosis in a deep model through transfer learning, including intra-domain alignment and inter-domain alignment. The proposed GATL enjoys several merits. First, our GATL adopts the self-supervised training to save the annotating cost in the target domain thus this domain adaptation method can significantly reduce annotation cost compared to the supervised approaches. Second, we introduce the graph neural network to extract potential features between unknown samples. Third, to enhance the robustness of the model, we use adversarial training to perform both inter-domain and intra-domain alignment to further improve the model’s classification accuracy. GATL achieved 94.3%, 97.5%, and 91.1% in accuracy, sensitivity, and specificity in the APTOS dataset and 92.7%, 95.7%, and 89.7% in the EyePACS dataset, respectively. Extensive experimental results on two challenging benchmarks, including APTOS 2019 and EyePACS, demonstrate that the proposed GATL performs favorably against baseline DR classification methods." @default.
• W4312857522 created "2023-01-05" @default.
• W4312857522 creator A5012416065 @default.
• W4312857522 creator A5015802865 @default.
• W4312857522 creator A5030482380 @default.
• W4312857522 creator A5068846534 @default.
• W4312857522 date "2022-01-01" @default.
• W4312857522 modified "2023-10-14" @default.
• W4312857522 title "Graph Adversarial Transfer Learning for Diabetic Retinopathy Classification" @default.
• W4312857522 cites W2115403315 @default.
• W4312857522 cites W2194775991 @default.
• W4312857522 cites W2502390809 @default.
• W4312857522 cites W2557738935 @default.
• W4312857522 cites W2610981713 @default.
• W4312857522 cites W2626629100 @default.
• W4312857522 cites W2752782242 @default.
• W4312857522 cites W2765921511 @default.
• W4312857522 cites W2791485417 @default.
• W4312857522 cites W2889859380 @default.
• W4312857522 cites W2932399282 @default.
• W4312857522 cites W2955626161 @default.
• W4312857522 cites W2963466847 @default.
• W4312857522 cites W2978017498 @default.
• W4312857522 cites W2986571423 @default.
• W4312857522 cites W3008531067 @default.
• W4312857522 cites W3034882062 @default.
• W4312857522 cites W3084156874 @default.
• W4312857522 cites W3089838827 @default.
• W4312857522 cites W3097391898 @default.
• W4312857522 cites W3103855452 @default.
• W4312857522 cites W3107591966 @default.
• W4312857522 cites W3109254284 @default.
• W4312857522 cites W3120995853 @default.
• W4312857522 cites W3157246375 @default.
• W4312857522 cites W3158377746 @default.
• W4312857522 cites W3159265489 @default.
• W4312857522 cites W3164440025 @default.
• W4312857522 cites W3168044862 @default.
• W4312857522 cites W3171509624 @default.
• W4312857522 cites W3173877330 @default.
• W4312857522 cites W3174137612 @default.
• W4312857522 cites W3195636772 @default.
• W4312857522 cites W3204146347 @default.
• W4312857522 cites W3212502336 @default.
• W4312857522 cites W3214497762 @default.
• W4312857522 cites W3216438373 @default.
• W4312857522 cites W4200293404 @default.
• W4312857522 cites W4229364552 @default.
• W4312857522 cites W4280548974 @default.
• W4312857522 cites W4288737819 @default.
• W4312857522 cites W4292162382 @default.
• W4312857522 cites W4293876603 @default.
• W4312857522 cites W4297831050 @default.
• W4312857522 cites W4312644735 @default.
• W4312857522 doi "https://doi.org/10.1109/access.2022.3220776" @default.
• W4312857522 hasPublicationYear "2022" @default.
• W4312857522 type Work @default.
• W4312857522 citedByCount "2" @default.
• W4312857522 countsByYear W43128575222023 @default.
• W4312857522 crossrefType "journal-article" @default.
• W4312857522 hasAuthorship W4312857522A5012416065 @default.
• W4312857522 hasAuthorship W4312857522A5015802865 @default.
• W4312857522 hasAuthorship W4312857522A5030482380 @default.
• W4312857522 hasAuthorship W4312857522A5068846534 @default.
• W4312857522 hasBestOaLocation W43128575221 @default.
• W4312857522 hasConcept C104317684 @default.
• W4312857522 hasConcept C108583219 @default.
• W4312857522 hasConcept C119767625 @default.
• W4312857522 hasConcept C119857082 @default.
• W4312857522 hasConcept C132525143 @default.
• W4312857522 hasConcept C150899416 @default.
• W4312857522 hasConcept C153180895 @default.
• W4312857522 hasConcept C154945302 @default.
• W4312857522 hasConcept C185592680 @default.
• W4312857522 hasConcept C2776321320 @default.
• W4312857522 hasConcept C2776434776 @default.
• W4312857522 hasConcept C2780929884 @default.
• W4312857522 hasConcept C37736160 @default.
• W4312857522 hasConcept C41008148 @default.
• W4312857522 hasConcept C55493867 @default.
• W4312857522 hasConcept C63479239 @default.
• W4312857522 hasConcept C71924100 @default.
• W4312857522 hasConcept C80444323 @default.
• W4312857522 hasConcept C95623464 @default.
• W4312857522 hasConceptScore W4312857522C104317684 @default.
• W4312857522 hasConceptScore W4312857522C108583219 @default.
• W4312857522 hasConceptScore W4312857522C119767625 @default.
• W4312857522 hasConceptScore W4312857522C119857082 @default.
• W4312857522 hasConceptScore W4312857522C132525143 @default.
• W4312857522 hasConceptScore W4312857522C150899416 @default.
• W4312857522 hasConceptScore W4312857522C153180895 @default.
• W4312857522 hasConceptScore W4312857522C154945302 @default.
• W4312857522 hasConceptScore W4312857522C185592680 @default.
• W4312857522 hasConceptScore W4312857522C2776321320 @default.
• W4312857522 hasConceptScore W4312857522C2776434776 @default.
• W4312857522 hasConceptScore W4312857522C2780929884 @default.
• W4312857522 hasConceptScore W4312857522C37736160 @default.
• W4312857522 hasConceptScore W4312857522C41008148 @default.

• next