Matches in SemOpenAlex for { <https://semopenalex.org/work/W2956098933> ?p ?o ?g. }
- W2956098933 endingPage "761" @default.
- W2956098933 startingPage "755" @default.
- W2956098933 abstract "Aims Morphological differentiation among different blast cell lineages is a difficult task and there is a lack of automated analysers able to recognise these abnormal cells. This study aims to develop a machine learning approach to predict the diagnosis of acute leukaemia using peripheral blood (PB) images. Methods A set of 442 smears was analysed from 206 patients. It was split into a training set with 75% of these smears and a testing set with the remaining 25%. Colour clustering and mathematical morphology were used to segment cell images, which allowed the extraction of 2,867 geometric, colour and texture features. Several classification techniques were studied to obtain the most accurate classification method. Afterwards, the classifier was assessed with the images of the testing set . The final strategy was to predict the patient’s diagnosis using the PB smear, and the final assessment was done with the cell images of the smears of the testing set . Results The highest classification accuracy was achieved with the selection of 700 features with linear discriminant analysis. The overall classification accuracy for the six groups of cell types was 85.8%, while the overall classification accuracy for individual smears was 94% as compared with the true confirmed diagnosis. Conclusions The proposed method achieves a high diagnostic precision in the recognition of different types of blast cells among other mononuclear cells circulating in blood. It is the first encouraging step towards the idea of being a diagnostic support tool in the future." @default.
- W2956098933 created "2019-07-12" @default.
- W2956098933 creator A5012433043 @default.
- W2956098933 creator A5024941738 @default.
- W2956098933 creator A5030523652 @default.
- W2956098933 creator A5050146774 @default.
- W2956098933 creator A5062827942 @default.
- W2956098933 creator A5062942937 @default.
- W2956098933 date "2019-06-29" @default.
- W2956098933 modified "2023-10-18" @default.
- W2956098933 title "Automatic recognition of different types of acute leukaemia in peripheral blood by image analysis" @default.
- W2956098933 cites W1590583116 @default.
- W2956098933 cites W1992842669 @default.
- W2956098933 cites W1996550590 @default.
- W2956098933 cites W2008573339 @default.
- W2956098933 cites W2011503872 @default.
- W2956098933 cites W2035020726 @default.
- W2956098933 cites W2039817070 @default.
- W2956098933 cites W2044465660 @default.
- W2956098933 cites W2076778321 @default.
- W2956098933 cites W2090575716 @default.
- W2956098933 cites W2127882708 @default.
- W2956098933 cites W2138900420 @default.
- W2956098933 cites W2339658711 @default.
- W2956098933 cites W2484322924 @default.
- W2956098933 cites W2495430411 @default.
- W2956098933 cites W2496135719 @default.
- W2956098933 cites W2498418174 @default.
- W2956098933 cites W2499198458 @default.
- W2956098933 cites W2563823404 @default.
- W2956098933 cites W2607555547 @default.
- W2956098933 cites W2627071793 @default.
- W2956098933 cites W2788565855 @default.
- W2956098933 cites W2790437618 @default.
- W2956098933 cites W2801711638 @default.
- W2956098933 cites W2803088090 @default.
- W2956098933 cites W2913813290 @default.
- W2956098933 cites W2059893543 @default.
- W2956098933 cites W783453938 @default.
- W2956098933 doi "https://doi.org/10.1136/jclinpath-2019-205949" @default.
- W2956098933 hasPubMedId "https://pubmed.ncbi.nlm.nih.gov/31256009" @default.
- W2956098933 hasPublicationYear "2019" @default.
- W2956098933 type Work @default.
- W2956098933 sameAs 2956098933 @default.
- W2956098933 citedByCount "33" @default.
- W2956098933 countsByYear W29560989332019 @default.
- W2956098933 countsByYear W29560989332020 @default.
- W2956098933 countsByYear W29560989332021 @default.
- W2956098933 countsByYear W29560989332022 @default.
- W2956098933 countsByYear W29560989332023 @default.
- W2956098933 crossrefType "journal-article" @default.
- W2956098933 hasAuthorship W2956098933A5012433043 @default.
- W2956098933 hasAuthorship W2956098933A5024941738 @default.
- W2956098933 hasAuthorship W2956098933A5030523652 @default.
- W2956098933 hasAuthorship W2956098933A5050146774 @default.
- W2956098933 hasAuthorship W2956098933A5062827942 @default.
- W2956098933 hasAuthorship W2956098933A5062942937 @default.
- W2956098933 hasConcept C115961682 @default.
- W2956098933 hasConcept C142724271 @default.
- W2956098933 hasConcept C153180895 @default.
- W2956098933 hasConcept C154945302 @default.
- W2956098933 hasConcept C169903167 @default.
- W2956098933 hasConcept C177264268 @default.
- W2956098933 hasConcept C199360897 @default.
- W2956098933 hasConcept C203014093 @default.
- W2956098933 hasConcept C2778048844 @default.
- W2956098933 hasConcept C3017819844 @default.
- W2956098933 hasConcept C3017910909 @default.
- W2956098933 hasConcept C41008148 @default.
- W2956098933 hasConcept C69738355 @default.
- W2956098933 hasConcept C71924100 @default.
- W2956098933 hasConcept C73555534 @default.
- W2956098933 hasConcept C75294576 @default.
- W2956098933 hasConcept C95623464 @default.
- W2956098933 hasConceptScore W2956098933C115961682 @default.
- W2956098933 hasConceptScore W2956098933C142724271 @default.
- W2956098933 hasConceptScore W2956098933C153180895 @default.
- W2956098933 hasConceptScore W2956098933C154945302 @default.
- W2956098933 hasConceptScore W2956098933C169903167 @default.
- W2956098933 hasConceptScore W2956098933C177264268 @default.
- W2956098933 hasConceptScore W2956098933C199360897 @default.
- W2956098933 hasConceptScore W2956098933C203014093 @default.
- W2956098933 hasConceptScore W2956098933C2778048844 @default.
- W2956098933 hasConceptScore W2956098933C3017819844 @default.
- W2956098933 hasConceptScore W2956098933C3017910909 @default.
- W2956098933 hasConceptScore W2956098933C41008148 @default.
- W2956098933 hasConceptScore W2956098933C69738355 @default.
- W2956098933 hasConceptScore W2956098933C71924100 @default.
- W2956098933 hasConceptScore W2956098933C73555534 @default.
- W2956098933 hasConceptScore W2956098933C75294576 @default.
- W2956098933 hasConceptScore W2956098933C95623464 @default.
- W2956098933 hasIssue "11" @default.
- W2956098933 hasLocation W29560989331 @default.
- W2956098933 hasLocation W29560989332 @default.
- W2956098933 hasOpenAccess W2956098933 @default.
- W2956098933 hasPrimaryLocation W29560989331 @default.
- W2956098933 hasRelatedWork W133358225 @default.
- W2956098933 hasRelatedWork W1590299888 @default.