FRINK Linked Data Fragments server

Matches in SemOpenAlex for { <https://semopenalex.org/work/W2017584192> ?p ?o ?g. }

• W2017584192 endingPage "784" @default.
• W2017584192 startingPage "779" @default.
• W2017584192 abstract "The authors prospectively tested the performance of a single numeric classifier constructed from a discriminative analysis classification system based on automatic computer-extracted quantitative features of clustered microcalcifications.Mammographically detected clustered microcalcifications in patients who had been referred for biopsy were digitized at 600 dpi with an 8-bit gray scale. A software program was developed to extract features automatically from digitized images to describe the clustered microcalcifications quantitatively. The significance of these features was evaluated by using the Wilcoxon test, the Welch modified two-sample t test, and the two-sample Kolmogorov-Smirnov test. A discriminant analysis pattern recognition system was constructed to generate a single numeric classifier for each case, based on the extracted features. This system was trained on 137 archival known reference cases and its performance tested on 24 unknown prospective cases. The results were evaluated by using receiver operating characteristic analysis.Thirty-seven extracted parameters demonstrated a statistically significant difference between the values for the benign and for the malignant lesions. Seven independent factors were selected to construct the classifier and to evaluate the unknown prospective cases. The area under the receiver operating characteristic curve for the prospective cases was 0.88.A pattern recognition classifier based on quantitative features for clustered microcalcifications at screen-film mammography was found to perform satisfactorily. The software may be of value in the interpretation of mammographically detected microcalcifications." @default.
• W2017584192 created "2016-06-24" @default.
• W2017584192 creator A5002971958 @default.
• W2017584192 creator A5015176015 @default.
• W2017584192 creator A5025784213 @default.
• W2017584192 creator A5043295584 @default.
• W2017584192 creator A5064721182 @default.
• W2017584192 creator A5065663745 @default.
• W2017584192 creator A5068620118 @default.
• W2017584192 date "1998-11-01" @default.
• W2017584192 modified "2023-09-26" @default.
• W2017584192 title "Analysis of clustered microcalcifications by using a single numeric classifier extracted from mammographic digital images" @default.
• W2017584192 cites W1492182164 @default.
• W2017584192 cites W1964460344 @default.
• W2017584192 cites W1976128207 @default.
• W2017584192 cites W1976363906 @default.
• W2017584192 cites W1977754993 @default.
• W2017584192 cites W1981103483 @default.
• W2017584192 cites W1998150121 @default.
• W2017584192 cites W2006408184 @default.
• W2017584192 cites W2008562061 @default.
• W2017584192 cites W2009497215 @default.
• W2017584192 cites W2015278915 @default.
• W2017584192 cites W2020993023 @default.
• W2017584192 cites W2023952640 @default.
• W2017584192 cites W2030297549 @default.
• W2017584192 cites W2033285182 @default.
• W2017584192 cites W2066348020 @default.
• W2017584192 cites W2072293577 @default.
• W2017584192 cites W2098845848 @default.
• W2017584192 cites W2123720956 @default.
• W2017584192 cites W2124152802 @default.
• W2017584192 cites W2139031005 @default.
• W2017584192 cites W2151817208 @default.
• W2017584192 cites W2157825442 @default.
• W2017584192 cites W2160182247 @default.
• W2017584192 cites W4236100285 @default.
• W2017584192 cites W4290201295 @default.
• W2017584192 doi "https://doi.org/10.1016/s1076-6332(98)80262-6" @default.
• W2017584192 hasPubMedId "https://pubmed.ncbi.nlm.nih.gov/9809076" @default.
• W2017584192 hasPublicationYear "1998" @default.
• W2017584192 type Work @default.
• W2017584192 sameAs 2017584192 @default.
• W2017584192 citedByCount "14" @default.
• W2017584192 crossrefType "journal-article" @default.
• W2017584192 hasAuthorship W2017584192A5002971958 @default.
• W2017584192 hasAuthorship W2017584192A5015176015 @default.
• W2017584192 hasAuthorship W2017584192A5025784213 @default.
• W2017584192 hasAuthorship W2017584192A5043295584 @default.
• W2017584192 hasAuthorship W2017584192A5064721182 @default.
• W2017584192 hasAuthorship W2017584192A5065663745 @default.
• W2017584192 hasAuthorship W2017584192A5068620118 @default.
• W2017584192 hasConcept C105795698 @default.
• W2017584192 hasConcept C119857082 @default.
• W2017584192 hasConcept C121608353 @default.
• W2017584192 hasConcept C126322002 @default.
• W2017584192 hasConcept C12868164 @default.
• W2017584192 hasConcept C153180895 @default.
• W2017584192 hasConcept C154945302 @default.
• W2017584192 hasConcept C199360897 @default.
• W2017584192 hasConcept C206041023 @default.
• W2017584192 hasConcept C2777904410 @default.
• W2017584192 hasConcept C2779549770 @default.
• W2017584192 hasConcept C2780472235 @default.
• W2017584192 hasConcept C33923547 @default.
• W2017584192 hasConcept C41008148 @default.
• W2017584192 hasConcept C530470458 @default.
• W2017584192 hasConcept C58471807 @default.
• W2017584192 hasConcept C69738355 @default.
• W2017584192 hasConcept C71924100 @default.
• W2017584192 hasConcept C95623464 @default.
• W2017584192 hasConcept C97931131 @default.
• W2017584192 hasConceptScore W2017584192C105795698 @default.
• W2017584192 hasConceptScore W2017584192C119857082 @default.
• W2017584192 hasConceptScore W2017584192C121608353 @default.
• W2017584192 hasConceptScore W2017584192C126322002 @default.
• W2017584192 hasConceptScore W2017584192C12868164 @default.
• W2017584192 hasConceptScore W2017584192C153180895 @default.
• W2017584192 hasConceptScore W2017584192C154945302 @default.
• W2017584192 hasConceptScore W2017584192C199360897 @default.
• W2017584192 hasConceptScore W2017584192C206041023 @default.
• W2017584192 hasConceptScore W2017584192C2777904410 @default.
• W2017584192 hasConceptScore W2017584192C2779549770 @default.
• W2017584192 hasConceptScore W2017584192C2780472235 @default.
• W2017584192 hasConceptScore W2017584192C33923547 @default.
• W2017584192 hasConceptScore W2017584192C41008148 @default.
• W2017584192 hasConceptScore W2017584192C530470458 @default.
• W2017584192 hasConceptScore W2017584192C58471807 @default.
• W2017584192 hasConceptScore W2017584192C69738355 @default.
• W2017584192 hasConceptScore W2017584192C71924100 @default.
• W2017584192 hasConceptScore W2017584192C95623464 @default.
• W2017584192 hasConceptScore W2017584192C97931131 @default.
• W2017584192 hasIssue "11" @default.
• W2017584192 hasLocation W20175841921 @default.
• W2017584192 hasLocation W20175841922 @default.
• W2017584192 hasOpenAccess W2017584192 @default.
• W2017584192 hasPrimaryLocation W20175841921 @default.
• W2017584192 hasRelatedWork W1844323538 @default.

• next