Matches in SemOpenAlex for { <https://semopenalex.org/work/W4200519115> ?p ?o ?g. }
Showing items 1 to 70 of
70
with 100 items per page.
- W4200519115 endingPage "9" @default.
- W4200519115 startingPage "1" @default.
- W4200519115 abstract "The study was intended to eliminate the noise in three-dimensional transvaginal ultrasound (3D-TVS) images and improve the diagnostic accuracy in intrauterine adhesion (IUA). The extreme learning machine (ELM) algorithm was introduced first for statement. One hundred and thirty cases of suspected IUA patients were taken as the research subjects. The denoising effects of ELM algorithm were evaluated in terms of mean square errors (MSE), peak signal-to-noise ratio (PSNR), and running time, and its diagnostic efficiency of IUA was identified from precise, specificity, and sensitivity. Furthermore, the support vector machine (SVM) algorithm was introduced for comparison. It was found that the MSE and PSNR of the ELM algorithm were 0.0021 and 64.5, respectively, and its average operation time was 11.22 ± 0.89s, that the MSE values of SVM algorithm and ELM algorithm were 0.0045 and 0.0021 and the PSNR values were 52.3 and 64.5, respectively, and that the average running time of SVM algorithm was 16.35 ± 1.33s, and the average running time of ELM algorithm was 11.22 ± 0.89s, superior to the SVM algorithm in denoising effects. Moreover, the ELM algorithm showed excellent diagnostic efficiency for patients with various degrees of IUA. In conclusion, ELM can effectively eliminate noise in 3D-TVS images and demonstrates excellent diagnostic efficiency on IUA, which is worthy of clinical application." @default.
- W4200519115 created "2021-12-31" @default.
- W4200519115 creator A5013082025 @default.
- W4200519115 creator A5027416160 @default.
- W4200519115 creator A5046513397 @default.
- W4200519115 date "2021-12-23" @default.
- W4200519115 modified "2023-09-30" @default.
- W4200519115 title "Extreme Learning Machine Denoising Algorithm-Based Transvaginal Three-dimensional Ultrasound Imaging on the Diagnosis Efficiency of Intrauterine Adhesions" @default.
- W4200519115 cites W2065413545 @default.
- W4200519115 cites W2345194886 @default.
- W4200519115 cites W2476030390 @default.
- W4200519115 cites W2604137284 @default.
- W4200519115 cites W2625641253 @default.
- W4200519115 cites W2993622027 @default.
- W4200519115 cites W4245940288 @default.
- W4200519115 doi "https://doi.org/10.1155/2021/5460333" @default.
- W4200519115 hasPublicationYear "2021" @default.
- W4200519115 type Work @default.
- W4200519115 citedByCount "0" @default.
- W4200519115 crossrefType "journal-article" @default.
- W4200519115 hasAuthorship W4200519115A5013082025 @default.
- W4200519115 hasAuthorship W4200519115A5027416160 @default.
- W4200519115 hasAuthorship W4200519115A5046513397 @default.
- W4200519115 hasBestOaLocation W42005191151 @default.
- W4200519115 hasConcept C105795698 @default.
- W4200519115 hasConcept C11413529 @default.
- W4200519115 hasConcept C115961682 @default.
- W4200519115 hasConcept C12267149 @default.
- W4200519115 hasConcept C139945424 @default.
- W4200519115 hasConcept C153180895 @default.
- W4200519115 hasConcept C154579607 @default.
- W4200519115 hasConcept C154945302 @default.
- W4200519115 hasConcept C163294075 @default.
- W4200519115 hasConcept C2780150128 @default.
- W4200519115 hasConcept C33923547 @default.
- W4200519115 hasConcept C41008148 @default.
- W4200519115 hasConcept C50644808 @default.
- W4200519115 hasConceptScore W4200519115C105795698 @default.
- W4200519115 hasConceptScore W4200519115C11413529 @default.
- W4200519115 hasConceptScore W4200519115C115961682 @default.
- W4200519115 hasConceptScore W4200519115C12267149 @default.
- W4200519115 hasConceptScore W4200519115C139945424 @default.
- W4200519115 hasConceptScore W4200519115C153180895 @default.
- W4200519115 hasConceptScore W4200519115C154579607 @default.
- W4200519115 hasConceptScore W4200519115C154945302 @default.
- W4200519115 hasConceptScore W4200519115C163294075 @default.
- W4200519115 hasConceptScore W4200519115C2780150128 @default.
- W4200519115 hasConceptScore W4200519115C33923547 @default.
- W4200519115 hasConceptScore W4200519115C41008148 @default.
- W4200519115 hasConceptScore W4200519115C50644808 @default.
- W4200519115 hasLocation W42005191151 @default.
- W4200519115 hasLocation W42005191152 @default.
- W4200519115 hasOpenAccess W4200519115 @default.
- W4200519115 hasPrimaryLocation W42005191151 @default.
- W4200519115 hasRelatedWork W2041399278 @default.
- W4200519115 hasRelatedWork W2099369243 @default.
- W4200519115 hasRelatedWork W2136184105 @default.
- W4200519115 hasRelatedWork W2141705618 @default.
- W4200519115 hasRelatedWork W2153189372 @default.
- W4200519115 hasRelatedWork W2160451891 @default.
- W4200519115 hasRelatedWork W2902466377 @default.
- W4200519115 hasRelatedWork W4223656335 @default.
- W4200519115 hasRelatedWork W2187500075 @default.
- W4200519115 hasRelatedWork W2345184372 @default.
- W4200519115 hasVolume "2021" @default.
- W4200519115 isParatext "false" @default.
- W4200519115 isRetracted "false" @default.
- W4200519115 workType "article" @default.