FRINK Linked Data Fragments server

Matches in SemOpenAlex for { <https://semopenalex.org/work/W2090640831> ?p ?o ?g. }

• W2090640831 endingPage "192" @default.
• W2090640831 startingPage "182" @default.
• W2090640831 abstract "MCR-ALS is a resolution method that has been applied in many different fields, such as process analysis, environmental data and, recently, hyperspectral image analysis. In this context, the algorithm provides the distribution maps and the pure spectra of the image constituents from the sole information in the raw image measurement. Based on the distribution maps and spectra obtained, additional information can be easily derived, such as identification of constituents when libraries are available or quantitation within the image, expressed as constituent signal contribution. This work summarizes first the protocol followed for the resolution on two examples of kidney calculi, taken as representations of images with major and minor compounds, respectively. Image segmentation allows separating regions of images according to their pixel similarity and is also relevant in the biomedical field to differentiate healthy from non-healthy regions in tissues or to identify sample regions with distinct properties. Information on pixel similarity is enclosed not only in pixel spectra, but also in other smaller pixel representations, such as PCA scores. In this paper, we propose the use of MCR scores (concentration profiles) for segmentation purposes. K-means results obtained from different pixel representations of the data set are compared. The main advantages of the use of MCR scores are the interpretability of the class centroids and the compound-wise selection and preprocessing of the input information in the segmentation scheme." @default.
• W2090640831 created "2016-06-24" @default.
• W2090640831 creator A5002253643 @default.
• W2090640831 creator A5042440403 @default.
• W2090640831 creator A5048992309 @default.
• W2090640831 creator A5062928139 @default.
• W2090640831 date "2011-10-01" @default.
• W2090640831 modified "2023-10-10" @default.
• W2090640831 title "Resolution and segmentation of hyperspectral biomedical images by Multivariate Curve Resolution-Alternating Least Squares" @default.
• W2090640831 cites W1974671923 @default.
• W2090640831 cites W1978819209 @default.
• W2090640831 cites W1979864442 @default.
• W2090640831 cites W1987971958 @default.
• W2090640831 cites W1989441983 @default.
• W2090640831 cites W1993419109 @default.
• W2090640831 cites W2004128332 @default.
• W2090640831 cites W2016372905 @default.
• W2090640831 cites W2021640751 @default.
• W2090640831 cites W2024349178 @default.
• W2090640831 cites W2030091168 @default.
• W2090640831 cites W2035244841 @default.
• W2090640831 cites W2039902016 @default.
• W2090640831 cites W2045746004 @default.
• W2090640831 cites W2047287346 @default.
• W2090640831 cites W2050374783 @default.
• W2090640831 cites W2051224630 @default.
• W2090640831 cites W2069753895 @default.
• W2090640831 cites W2075635465 @default.
• W2090640831 cites W2092280582 @default.
• W2090640831 cites W2093767384 @default.
• W2090640831 cites W2098098075 @default.
• W2090640831 cites W2110076945 @default.
• W2090640831 cites W2150593711 @default.
• W2090640831 cites W2157321686 @default.
• W2090640831 cites W2317333975 @default.
• W2090640831 doi "https://doi.org/10.1016/j.aca.2011.05.020" @default.
• W2090640831 hasPubMedId "https://pubmed.ncbi.nlm.nih.gov/21962361" @default.
• W2090640831 hasPublicationYear "2011" @default.
• W2090640831 type Work @default.
• W2090640831 sameAs 2090640831 @default.
• W2090640831 citedByCount "94" @default.
• W2090640831 countsByYear W20906408312012 @default.
• W2090640831 countsByYear W20906408312013 @default.
• W2090640831 countsByYear W20906408312014 @default.
• W2090640831 countsByYear W20906408312015 @default.
• W2090640831 countsByYear W20906408312016 @default.
• W2090640831 countsByYear W20906408312017 @default.
• W2090640831 countsByYear W20906408312018 @default.
• W2090640831 countsByYear W20906408312019 @default.
• W2090640831 countsByYear W20906408312020 @default.
• W2090640831 countsByYear W20906408312021 @default.
• W2090640831 countsByYear W20906408312022 @default.
• W2090640831 countsByYear W20906408312023 @default.
• W2090640831 crossrefType "journal-article" @default.
• W2090640831 hasAuthorship W2090640831A5002253643 @default.
• W2090640831 hasAuthorship W2090640831A5042440403 @default.
• W2090640831 hasAuthorship W2090640831A5048992309 @default.
• W2090640831 hasAuthorship W2090640831A5062928139 @default.
• W2090640831 hasConcept C103278499 @default.
• W2090640831 hasConcept C115961682 @default.
• W2090640831 hasConcept C153180895 @default.
• W2090640831 hasConcept C154945302 @default.
• W2090640831 hasConcept C159078339 @default.
• W2090640831 hasConcept C160633673 @default.
• W2090640831 hasConcept C166957645 @default.
• W2090640831 hasConcept C205649164 @default.
• W2090640831 hasConcept C2779343474 @default.
• W2090640831 hasConcept C2781067378 @default.
• W2090640831 hasConcept C34736171 @default.
• W2090640831 hasConcept C41008148 @default.
• W2090640831 hasConcept C89600930 @default.
• W2090640831 hasConceptScore W2090640831C103278499 @default.
• W2090640831 hasConceptScore W2090640831C115961682 @default.
• W2090640831 hasConceptScore W2090640831C153180895 @default.
• W2090640831 hasConceptScore W2090640831C154945302 @default.
• W2090640831 hasConceptScore W2090640831C159078339 @default.
• W2090640831 hasConceptScore W2090640831C160633673 @default.
• W2090640831 hasConceptScore W2090640831C166957645 @default.
• W2090640831 hasConceptScore W2090640831C205649164 @default.
• W2090640831 hasConceptScore W2090640831C2779343474 @default.
• W2090640831 hasConceptScore W2090640831C2781067378 @default.
• W2090640831 hasConceptScore W2090640831C34736171 @default.
• W2090640831 hasConceptScore W2090640831C41008148 @default.
• W2090640831 hasConceptScore W2090640831C89600930 @default.
• W2090640831 hasIssue "1-2" @default.
• W2090640831 hasLocation W20906408311 @default.
• W2090640831 hasLocation W20906408312 @default.
• W2090640831 hasLocation W20906408313 @default.
• W2090640831 hasLocation W20906408314 @default.
• W2090640831 hasOpenAccess W2090640831 @default.
• W2090640831 hasPrimaryLocation W20906408311 @default.
• W2090640831 hasRelatedWork W1766550789 @default.
• W2090640831 hasRelatedWork W2067727414 @default.
• W2090640831 hasRelatedWork W2806259446 @default.
• W2090640831 hasRelatedWork W2905433371 @default.
• W2090640831 hasRelatedWork W4310278675 @default.
• W2090640831 hasRelatedWork W4311431240 @default.
• W2090640831 hasRelatedWork W4312407344 @default.

• next