Matches in SemOpenAlex for { <https://semopenalex.org/work/W4200547831> ?p ?o ?g. }
Showing items 1 to 89 of
89
with 100 items per page.
- W4200547831 abstract "Blood vessels provide oxygen and nutrients to all tissues in the human body, and their incorrect organisation or dysfunction contributes to several diseases. Correct organisation of blood vessels is achieved through vascular patterning, a process that relies on endothelial cell polarization and migration against the blood flow direction. Unravelling the mechanisms governing endothelial cell polarity is essential to study the process of vascular patterning. Cell polarity is defined by a vector that goes from the nucleus centroid to the corresponding Golgi complex centroid, here defined as axial polarity. Currently, axial polarity is calculated manually, which is time-consuming and subjective. In this work, we used a deep learning approach to segment nuclei and Golgi in 3D fluorescence microscopy images of mouse retinas, and to assign nucleus-Golgi pairs. This approach predicts nuclei and Golgi segmentation masks but also a third mask corresponding to joint nuclei and Golgi segmentations. The joint segmentation mask is used to perform nucleus-Golgi pairing. We demonstrate that our deep learning approach using three masks successfully identifies nucleus-Golgi pairs, outperforming a pairing method based on a cost matrix. Our results pave the way for automated computation of axial polarity in 3D tissues and in vivo." @default.
- W4200547831 created "2021-12-31" @default.
- W4200547831 creator A5020345179 @default.
- W4200547831 creator A5065818684 @default.
- W4200547831 creator A5079577626 @default.
- W4200547831 creator A5090515603 @default.
- W4200547831 date "2021-11-01" @default.
- W4200547831 modified "2023-09-29" @default.
- W4200547831 title "Joint Segmentation and Pairing of Nuclei and Golgi in 3D Microscopy Images" @default.
- W4200547831 cites W1971324461 @default.
- W4200547831 cites W2033454646 @default.
- W4200547831 cites W2120457676 @default.
- W4200547831 cites W2140286515 @default.
- W4200547831 cites W2264665805 @default.
- W4200547831 cites W2618307797 @default.
- W4200547831 cites W2711672883 @default.
- W4200547831 cites W2752615111 @default.
- W4200547831 cites W2794284562 @default.
- W4200547831 cites W2798976889 @default.
- W4200547831 cites W2807612972 @default.
- W4200547831 cites W2935942031 @default.
- W4200547831 cites W2972417007 @default.
- W4200547831 cites W3038933205 @default.
- W4200547831 cites W3101294892 @default.
- W4200547831 doi "https://doi.org/10.1109/embc46164.2021.9630362" @default.
- W4200547831 hasPubMedId "https://pubmed.ncbi.nlm.nih.gov/34891879" @default.
- W4200547831 hasPublicationYear "2021" @default.
- W4200547831 type Work @default.
- W4200547831 citedByCount "2" @default.
- W4200547831 countsByYear W42005478312022 @default.
- W4200547831 crossrefType "proceedings-article" @default.
- W4200547831 hasAuthorship W4200547831A5020345179 @default.
- W4200547831 hasAuthorship W4200547831A5065818684 @default.
- W4200547831 hasAuthorship W4200547831A5079577626 @default.
- W4200547831 hasAuthorship W4200547831A5090515603 @default.
- W4200547831 hasBestOaLocation W42005478312 @default.
- W4200547831 hasConcept C119062480 @default.
- W4200547831 hasConcept C121332964 @default.
- W4200547831 hasConcept C14103023 @default.
- W4200547831 hasConcept C146599234 @default.
- W4200547831 hasConcept C1491633281 @default.
- W4200547831 hasConcept C154945302 @default.
- W4200547831 hasConcept C158617107 @default.
- W4200547831 hasConcept C2777361361 @default.
- W4200547831 hasConcept C2780723820 @default.
- W4200547831 hasConcept C41008148 @default.
- W4200547831 hasConcept C49353375 @default.
- W4200547831 hasConcept C54101563 @default.
- W4200547831 hasConcept C54355233 @default.
- W4200547831 hasConcept C62520636 @default.
- W4200547831 hasConcept C86803240 @default.
- W4200547831 hasConcept C89600930 @default.
- W4200547831 hasConcept C95444343 @default.
- W4200547831 hasConceptScore W4200547831C119062480 @default.
- W4200547831 hasConceptScore W4200547831C121332964 @default.
- W4200547831 hasConceptScore W4200547831C14103023 @default.
- W4200547831 hasConceptScore W4200547831C146599234 @default.
- W4200547831 hasConceptScore W4200547831C1491633281 @default.
- W4200547831 hasConceptScore W4200547831C154945302 @default.
- W4200547831 hasConceptScore W4200547831C158617107 @default.
- W4200547831 hasConceptScore W4200547831C2777361361 @default.
- W4200547831 hasConceptScore W4200547831C2780723820 @default.
- W4200547831 hasConceptScore W4200547831C41008148 @default.
- W4200547831 hasConceptScore W4200547831C49353375 @default.
- W4200547831 hasConceptScore W4200547831C54101563 @default.
- W4200547831 hasConceptScore W4200547831C54355233 @default.
- W4200547831 hasConceptScore W4200547831C62520636 @default.
- W4200547831 hasConceptScore W4200547831C86803240 @default.
- W4200547831 hasConceptScore W4200547831C89600930 @default.
- W4200547831 hasConceptScore W4200547831C95444343 @default.
- W4200547831 hasFunder F4320334678 @default.
- W4200547831 hasLocation W42005478311 @default.
- W4200547831 hasLocation W42005478312 @default.
- W4200547831 hasLocation W42005478313 @default.
- W4200547831 hasOpenAccess W4200547831 @default.
- W4200547831 hasPrimaryLocation W42005478311 @default.
- W4200547831 hasRelatedWork W1974516237 @default.
- W4200547831 hasRelatedWork W2070715564 @default.
- W4200547831 hasRelatedWork W2126582065 @default.
- W4200547831 hasRelatedWork W2141200120 @default.
- W4200547831 hasRelatedWork W2315450573 @default.
- W4200547831 hasRelatedWork W2341929970 @default.
- W4200547831 hasRelatedWork W2991761539 @default.
- W4200547831 hasRelatedWork W3015031339 @default.
- W4200547831 hasRelatedWork W3032101389 @default.
- W4200547831 hasRelatedWork W3140927673 @default.
- W4200547831 isParatext "false" @default.
- W4200547831 isRetracted "false" @default.
- W4200547831 workType "article" @default.