Matches in SemOpenAlex for { <https://semopenalex.org/work/W4310584983> ?p ?o ?g. }
Showing items 1 to 78 of
78
with 100 items per page.
- W4310584983 abstract "H-scan ultrasound (US) imaging is a high-resolution soft tissue characterization technique. It is a matched filter approach derived from analysis of scattering from incident pulses in the general form of nth-order Gaussian-weighted Hermite polynomial functions (GHn). The purpose of this study was to evaluate the potential of H-scan US imaging to distinguish scatterer distributions of biopsy-confirmed human benign and malignant thyroid lesions (N = 16 per group). Image data was acquired using a Sonix Touch US system (Analogic Ultrasound) equipped with an L14-5 linear array transducer. To generate H-scan US images, three convolution filters (i.e., GH <inf xmlns:mml=http://www.w3.org/1998/Math/MathML xmlns:xlink=http://www.w3.org/1999/xlink>n</inf> , n = 2,4, and 8) were applied in parallel to the radiofrequency (RF) data sequences to measure the relative strength of the backscattered US signals. To examine any spatial differences in H-scan US image intensity, textural features like contrast, energy, homogeneity, etc., were extracted from same-sized region-of-interests (ROIs) confined to each individual tumor. Experimental results verified the utility of H-scan US imaging of human thyroid tumors. Results from texture analysis of the H-scan US images indicated that there were statistically significant differences between benign and malignant tumor types for select features (p < 0.03)." @default.
- W4310584983 created "2022-12-12" @default.
- W4310584983 creator A5022636251 @default.
- W4310584983 creator A5027595717 @default.
- W4310584983 creator A5038540622 @default.
- W4310584983 creator A5039656495 @default.
- W4310584983 creator A5044745232 @default.
- W4310584983 creator A5048052461 @default.
- W4310584983 creator A5062710773 @default.
- W4310584983 creator A5071997755 @default.
- W4310584983 creator A5086970175 @default.
- W4310584983 date "2022-10-10" @default.
- W4310584983 modified "2023-09-28" @default.
- W4310584983 title "H-scan ultrasound imaging for the classification of thyroid tumors" @default.
- W4310584983 cites W1833314573 @default.
- W4310584983 cites W2117773212 @default.
- W4310584983 cites W2280059135 @default.
- W4310584983 cites W2345811922 @default.
- W4310584983 cites W2400208957 @default.
- W4310584983 cites W2627248834 @default.
- W4310584983 cites W2763344149 @default.
- W4310584983 cites W2894847031 @default.
- W4310584983 cites W2906266111 @default.
- W4310584983 cites W2989195588 @default.
- W4310584983 cites W3105442449 @default.
- W4310584983 cites W3122690596 @default.
- W4310584983 cites W3184871666 @default.
- W4310584983 cites W4200155392 @default.
- W4310584983 cites W4200624252 @default.
- W4310584983 cites W4226079912 @default.
- W4310584983 cites W4254365872 @default.
- W4310584983 cites W4283325778 @default.
- W4310584983 doi "https://doi.org/10.1109/ius54386.2022.9957380" @default.
- W4310584983 hasPublicationYear "2022" @default.
- W4310584983 type Work @default.
- W4310584983 citedByCount "0" @default.
- W4310584983 crossrefType "proceedings-article" @default.
- W4310584983 hasAuthorship W4310584983A5022636251 @default.
- W4310584983 hasAuthorship W4310584983A5027595717 @default.
- W4310584983 hasAuthorship W4310584983A5038540622 @default.
- W4310584983 hasAuthorship W4310584983A5039656495 @default.
- W4310584983 hasAuthorship W4310584983A5044745232 @default.
- W4310584983 hasAuthorship W4310584983A5048052461 @default.
- W4310584983 hasAuthorship W4310584983A5062710773 @default.
- W4310584983 hasAuthorship W4310584983A5071997755 @default.
- W4310584983 hasAuthorship W4310584983A5086970175 @default.
- W4310584983 hasConcept C126838900 @default.
- W4310584983 hasConcept C143753070 @default.
- W4310584983 hasConcept C153180895 @default.
- W4310584983 hasConcept C154945302 @default.
- W4310584983 hasConcept C205372480 @default.
- W4310584983 hasConcept C2989005 @default.
- W4310584983 hasConcept C41008148 @default.
- W4310584983 hasConcept C71924100 @default.
- W4310584983 hasConceptScore W4310584983C126838900 @default.
- W4310584983 hasConceptScore W4310584983C143753070 @default.
- W4310584983 hasConceptScore W4310584983C153180895 @default.
- W4310584983 hasConceptScore W4310584983C154945302 @default.
- W4310584983 hasConceptScore W4310584983C205372480 @default.
- W4310584983 hasConceptScore W4310584983C2989005 @default.
- W4310584983 hasConceptScore W4310584983C41008148 @default.
- W4310584983 hasConceptScore W4310584983C71924100 @default.
- W4310584983 hasLocation W43105849831 @default.
- W4310584983 hasOpenAccess W4310584983 @default.
- W4310584983 hasPrimaryLocation W43105849831 @default.
- W4310584983 hasRelatedWork W141524600 @default.
- W4310584983 hasRelatedWork W1841185769 @default.
- W4310584983 hasRelatedWork W2033914206 @default.
- W4310584983 hasRelatedWork W2049214470 @default.
- W4310584983 hasRelatedWork W2072926321 @default.
- W4310584983 hasRelatedWork W2146076056 @default.
- W4310584983 hasRelatedWork W2155887765 @default.
- W4310584983 hasRelatedWork W2373416058 @default.
- W4310584983 hasRelatedWork W2748952813 @default.
- W4310584983 hasRelatedWork W2899084033 @default.
- W4310584983 isParatext "false" @default.
- W4310584983 isRetracted "false" @default.
- W4310584983 workType "article" @default.