Matches in SemOpenAlex for { <https://semopenalex.org/work/W4285257024> ?p ?o ?g. }
- W4285257024 endingPage "54804" @default.
- W4285257024 startingPage "54794" @default.
- W4285257024 abstract "Accurate instance segmentation is essential for the behavior and morphology analysis of neuronal cells. The main challenges of this segmentation task involve irregular and concave cell morphology, low contrast on cell boundaries, cell clustering and adhesion, and the background noise in the phase contrast microscopy (PCM) images. To address these challenges, we propose a learning pipeline with three performance boosters that have not been extensively explored in prior studies, including transferring knowledge from a model pre-trained on a larger but similar dataset, enhancing the contrast of cells in a PCM image, and a pointwise attentive path fusion module that allows the learning model to capture informative features from critical areas. Experiments have been conducted on the Sartorius Cell Instance Segmentation dataset with three neuronal cell lines. Results show that the final model, with three boosters enabled, brings a mAP gain of 10.3%. Compared to the top three places in the leaderboard, our method shows comparable performance without using any ensemble method, making our model the state-of-the-art solution among the single model-based methods." @default.
- W4285257024 created "2022-07-14" @default.
- W4285257024 creator A5037671044 @default.
- W4285257024 creator A5084515020 @default.
- W4285257024 date "2022-01-01" @default.
- W4285257024 modified "2023-09-26" @default.
- W4285257024 title "Transfer Learning-Based Neuronal Cell Instance Segmentation With Pointwise Attentive Path Fusion" @default.
- W4285257024 cites W1901129140 @default.
- W4285257024 cites W1971406396 @default.
- W4285257024 cites W1986446939 @default.
- W4285257024 cites W2047090204 @default.
- W4285257024 cites W2048856370 @default.
- W4285257024 cites W2074661552 @default.
- W4285257024 cites W2108598243 @default.
- W4285257024 cites W2150002612 @default.
- W4285257024 cites W2162800365 @default.
- W4285257024 cites W2395611524 @default.
- W4285257024 cites W2401296772 @default.
- W4285257024 cites W2560023338 @default.
- W4285257024 cites W2565639579 @default.
- W4285257024 cites W2605929543 @default.
- W4285257024 cites W2736326359 @default.
- W4285257024 cites W2807155283 @default.
- W4285257024 cites W2884367402 @default.
- W4285257024 cites W2884822772 @default.
- W4285257024 cites W2919115771 @default.
- W4285257024 cites W2944712585 @default.
- W4285257024 cites W2956880270 @default.
- W4285257024 cites W2962891704 @default.
- W4285257024 cites W2962914239 @default.
- W4285257024 cites W2963150697 @default.
- W4285257024 cites W2963300546 @default.
- W4285257024 cites W2963857746 @default.
- W4285257024 cites W2963881378 @default.
- W4285257024 cites W2965391153 @default.
- W4285257024 cites W2966535964 @default.
- W4285257024 cites W2980011135 @default.
- W4285257024 cites W2980046504 @default.
- W4285257024 cites W3041133507 @default.
- W4285257024 cites W3098085362 @default.
- W4285257024 cites W3105636206 @default.
- W4285257024 cites W3109301572 @default.
- W4285257024 cites W3127743092 @default.
- W4285257024 cites W3132455321 @default.
- W4285257024 cites W3196890347 @default.
- W4285257024 doi "https://doi.org/10.1109/access.2022.3176956" @default.
- W4285257024 hasPublicationYear "2022" @default.
- W4285257024 type Work @default.
- W4285257024 citedByCount "1" @default.
- W4285257024 countsByYear W42852570242022 @default.
- W4285257024 crossrefType "journal-article" @default.
- W4285257024 hasAuthorship W4285257024A5037671044 @default.
- W4285257024 hasAuthorship W4285257024A5084515020 @default.
- W4285257024 hasBestOaLocation W42852570241 @default.
- W4285257024 hasConcept C115961682 @default.
- W4285257024 hasConcept C119857082 @default.
- W4285257024 hasConcept C134306372 @default.
- W4285257024 hasConcept C138885662 @default.
- W4285257024 hasConcept C150899416 @default.
- W4285257024 hasConcept C153180895 @default.
- W4285257024 hasConcept C154945302 @default.
- W4285257024 hasConcept C158525013 @default.
- W4285257024 hasConcept C199360897 @default.
- W4285257024 hasConcept C2776502983 @default.
- W4285257024 hasConcept C2777735758 @default.
- W4285257024 hasConcept C2777984123 @default.
- W4285257024 hasConcept C31972630 @default.
- W4285257024 hasConcept C33923547 @default.
- W4285257024 hasConcept C41008148 @default.
- W4285257024 hasConcept C41895202 @default.
- W4285257024 hasConcept C43521106 @default.
- W4285257024 hasConcept C73555534 @default.
- W4285257024 hasConcept C89600930 @default.
- W4285257024 hasConcept C99498987 @default.
- W4285257024 hasConceptScore W4285257024C115961682 @default.
- W4285257024 hasConceptScore W4285257024C119857082 @default.
- W4285257024 hasConceptScore W4285257024C134306372 @default.
- W4285257024 hasConceptScore W4285257024C138885662 @default.
- W4285257024 hasConceptScore W4285257024C150899416 @default.
- W4285257024 hasConceptScore W4285257024C153180895 @default.
- W4285257024 hasConceptScore W4285257024C154945302 @default.
- W4285257024 hasConceptScore W4285257024C158525013 @default.
- W4285257024 hasConceptScore W4285257024C199360897 @default.
- W4285257024 hasConceptScore W4285257024C2776502983 @default.
- W4285257024 hasConceptScore W4285257024C2777735758 @default.
- W4285257024 hasConceptScore W4285257024C2777984123 @default.
- W4285257024 hasConceptScore W4285257024C31972630 @default.
- W4285257024 hasConceptScore W4285257024C33923547 @default.
- W4285257024 hasConceptScore W4285257024C41008148 @default.
- W4285257024 hasConceptScore W4285257024C41895202 @default.
- W4285257024 hasConceptScore W4285257024C43521106 @default.
- W4285257024 hasConceptScore W4285257024C73555534 @default.
- W4285257024 hasConceptScore W4285257024C89600930 @default.
- W4285257024 hasConceptScore W4285257024C99498987 @default.
- W4285257024 hasLocation W42852570241 @default.
- W4285257024 hasLocation W42852570242 @default.
- W4285257024 hasOpenAccess W4285257024 @default.
- W4285257024 hasPrimaryLocation W42852570241 @default.