FRINK Linked Data Fragments server

Matches in SemOpenAlex for { <https://semopenalex.org/work/W2134489694> ?p ?o ?g. }

• W2134489694 endingPage "63" @default.
• W2134489694 startingPage "50" @default.
• W2134489694 abstract "Visual inspection of ultrasound is diagnostically limited for characterizing breast tissue, in particular when it comes to visually detecting hyperplasia that forms in the ducts at its early formation (at submillimeter resolution) stages. It can, of course, be seen using biopsies. But this will not be done unless the areas have been flagged using noninvasive modalities. The aim of this paper is to draw to the attention of the medical community (albeit through simulations) that the continuous wavelet transform decomposition (CWTD) that was proven in vivo for tissue characterization before has the potential to flag out simulated hyperplasia data at submillimeter resolutions. And it might be an excellent candidate for detecting in vivo hyperplastic changes in the breast. To the best of our knowledge, this is the first attempt at studying the potential of detecting cell growth in breast ducts using ultrasound. The stochastic decomposition model (the CWTD) of the RF echo with its coherent and diffuse components, yields image parameters that correlate closely with the structural parameters of the (simulated) hyperplastic stages of the breast tissue. The discrimination power of the various parameters is studied under a host of conditions, such as varying resolution, depth, and coherent to diffuse energy ratio (CDR) values using a point-scatterer model simulator that mimics epithelium hyperplastic growth in the breast ducts. These are shown to be useful for detecting the various types of simulated hyperplastic data. Careful analysis shows that three parameters, in particular the number of coherent scatterers, the Rayleigh scattering degree, and the energy of the diffuse scatterers, are most sensitive to variations in the hyperplastic simulated data. And they show very high ability to discriminate between various stages of simulated hyperplasia, even in cases of low resolution and low CDR values. Using the area under the receiver operating characteristics (ROC) curve (A <sub xmlns:mml=http://www.w3.org/1998/Math/MathML xmlns:xlink=http://www.w3.org/1999/xlink>z</sub> ) as the performance metric, values of A <sub xmlns:mml=http://www.w3.org/1998/Math/MathML xmlns:xlink=http://www.w3.org/1999/xlink>z</sub> > 0.942 are obtained when discriminating between stages for resolution les 0.4 mm, even for low CDR values. Then it drops below the 0.9 range as the resolution exceeds the 0.4-mm range. A nonparametric segmentation method to extract ductal areas from breast scans is presented to be used as a pre-step before classification of hyperplastic stages in breast ducts. This is a necessary step for segmenting the RF scan into ductal versus nonductal areas from breast scans. This is tested using breast tissue mimicking phantom data resulting values of A <sub xmlns:mml=http://www.w3.org/1998/Math/MathML xmlns:xlink=http://www.w3.org/1999/xlink>z</sub> > 0.948 for different duct densities." @default.
• W2134489694 created "2016-06-24" @default.
• W2134489694 creator A5009714891 @default.
• W2134489694 creator A5013579231 @default.
• W2134489694 creator A5029688540 @default.
• W2134489694 date "2008-01-01" @default.
• W2134489694 modified "2023-09-24" @default.
• W2134489694 title "Classification of simulated hyperplastic stages in the breast ducts based on ultrasound RF echo" @default.
• W2134489694 cites W1536719366 @default.
• W2134489694 cites W1539224131 @default.
• W2134489694 cites W1596813302 @default.
• W2134489694 cites W1967229517 @default.
• W2134489694 cites W1968114652 @default.
• W2134489694 cites W1981960172 @default.
• W2134489694 cites W1991648154 @default.
• W2134489694 cites W1997861405 @default.
• W2134489694 cites W2022419963 @default.
• W2134489694 cites W2029456875 @default.
• W2134489694 cites W2036782415 @default.
• W2134489694 cites W2041108647 @default.
• W2134489694 cites W2058966721 @default.
• W2134489694 cites W2060136512 @default.
• W2134489694 cites W2061944502 @default.
• W2134489694 cites W2064433773 @default.
• W2134489694 cites W2070074955 @default.
• W2134489694 cites W2071762482 @default.
• W2134489694 cites W2079506716 @default.
• W2134489694 cites W2082801281 @default.
• W2134489694 cites W2099453377 @default.
• W2134489694 cites W2100907466 @default.
• W2134489694 cites W2115862886 @default.
• W2134489694 cites W2119781352 @default.
• W2134489694 cites W2123080304 @default.
• W2134489694 cites W2126813114 @default.
• W2134489694 cites W2129882004 @default.
• W2134489694 cites W2133295115 @default.
• W2134489694 cites W2134837756 @default.
• W2134489694 cites W2137031943 @default.
• W2134489694 cites W2140749673 @default.
• W2134489694 cites W2144332927 @default.
• W2134489694 cites W2145909099 @default.
• W2134489694 cites W2147634472 @default.
• W2134489694 cites W2151346476 @default.
• W2134489694 cites W2152483762 @default.
• W2134489694 cites W2154195584 @default.
• W2134489694 cites W2166117566 @default.
• W2134489694 cites W2167750329 @default.
• W2134489694 cites W2168443507 @default.
• W2134489694 cites W2183952249 @default.
• W2134489694 cites W2319189069 @default.
• W2134489694 cites W2494262836 @default.
• W2134489694 cites W2799061466 @default.
• W2134489694 cites W2988493071 @default.
• W2134489694 cites W2012047426 @default.
• W2134489694 cites W2983929550 @default.
• W2134489694 doi "https://doi.org/10.1109/tuffc.2008.616" @default.
• W2134489694 hasPubMedId "https://pubmed.ncbi.nlm.nih.gov/18334313" @default.
• W2134489694 hasPublicationYear "2008" @default.
• W2134489694 type Work @default.
• W2134489694 sameAs 2134489694 @default.
• W2134489694 citedByCount "3" @default.
• W2134489694 crossrefType "journal-article" @default.
• W2134489694 hasAuthorship W2134489694A5009714891 @default.
• W2134489694 hasAuthorship W2134489694A5013579231 @default.
• W2134489694 hasAuthorship W2134489694A5029688540 @default.
• W2134489694 hasConcept C105795698 @default.
• W2134489694 hasConcept C136229726 @default.
• W2134489694 hasConcept C142724271 @default.
• W2134489694 hasConcept C186370098 @default.
• W2134489694 hasConcept C2777562237 @default.
• W2134489694 hasConcept C33923547 @default.
• W2134489694 hasConcept C41008148 @default.
• W2134489694 hasConcept C71924100 @default.
• W2134489694 hasConceptScore W2134489694C105795698 @default.
• W2134489694 hasConceptScore W2134489694C136229726 @default.
• W2134489694 hasConceptScore W2134489694C142724271 @default.
• W2134489694 hasConceptScore W2134489694C186370098 @default.
• W2134489694 hasConceptScore W2134489694C2777562237 @default.
• W2134489694 hasConceptScore W2134489694C33923547 @default.
• W2134489694 hasConceptScore W2134489694C41008148 @default.
• W2134489694 hasConceptScore W2134489694C71924100 @default.
• W2134489694 hasIssue "1" @default.
• W2134489694 hasLocation W21344896941 @default.
• W2134489694 hasLocation W21344896942 @default.
• W2134489694 hasOpenAccess W2134489694 @default.
• W2134489694 hasPrimaryLocation W21344896941 @default.
• W2134489694 hasRelatedWork W1990044864 @default.
• W2134489694 hasRelatedWork W2032043617 @default.
• W2134489694 hasRelatedWork W2069230042 @default.
• W2134489694 hasRelatedWork W2077886529 @default.
• W2134489694 hasRelatedWork W2313299588 @default.
• W2134489694 hasRelatedWork W2331442940 @default.
• W2134489694 hasRelatedWork W2357527027 @default.
• W2134489694 hasRelatedWork W2386862765 @default.
• W2134489694 hasRelatedWork W2731450701 @default.
• W2134489694 hasRelatedWork W2902759912 @default.
• W2134489694 hasVolume "55" @default.
• W2134489694 isParatext "false" @default.

• next