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Year Number of Results
1982 1
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443 results

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Page 1
Showing results for roi sizes
Search for Roni Sides instead (3 results)
Stability of Liver Radiomics across Different 3D ROI Sizes-An MRI In Vivo Study.
Jensen LJ, Kim D, Elgeti T, Steffen IG, Hamm B, Nagel SN. Jensen LJ, et al. Tomography. 2021 Dec 3;7(4):866-876. doi: 10.3390/tomography7040073. Tomography. 2021. PMID: 34941645 Free PMC article.
We aimed to evaluate the stability of radiomic features in the liver of healthy individuals across different three-dimensional regions of interest (3D ROI) sizes in T1-weighted (T1w) and T2-weighted (T2w) images from different MR scanners. ...OCCCs across the differ …
We aimed to evaluate the stability of radiomic features in the liver of healthy individuals across different three-dimensional regions of in …
The case for preregistering all region of interest (ROI) analyses in neuroimaging research.
Gentili C, Cecchetti L, Handjaras G, Lettieri G, Cristea IA. Gentili C, et al. Eur J Neurosci. 2021 Jan;53(2):357-361. doi: 10.1111/ejn.14954. Epub 2020 Sep 10. Eur J Neurosci. 2021. PMID: 32852863
To mitigate these issues, researchers often restrict analyses to specific brain areas, using the region of interest (ROI) approach. Crucially, ROI analysis assumes the a priori justified definition of the target region. ...These shortcomings have important implicati …
To mitigate these issues, researchers often restrict analyses to specific brain areas, using the region of interest (ROI) approach. C …
Distinguishing common renal cell carcinomas from benign renal tumors based on machine learning: comparing various CT imaging phases, slices, tumor sizes, and ROI segmentation strategies.
Zhou T, Guan J, Feng B, Xue H, Cui J, Kuang Q, Chen Y, Xu K, Lin F, Cui E, Long W. Zhou T, et al. Eur Radiol. 2023 Jun;33(6):4323-4332. doi: 10.1007/s00330-022-09384-0. Epub 2023 Jan 16. Eur Radiol. 2023. PMID: 36645455
OBJECTIVES: To determine whether a CT-based machine learning (ML) can differentiate benign renal tumors from renal cell carcinomas (RCCs) and improve radiologists' diagnostic performance, and evaluate the impact of variable CT imaging phases, slices, tumor sizes, and regio …
OBJECTIVES: To determine whether a CT-based machine learning (ML) can differentiate benign renal tumors from renal cell carcinomas (RCCs) an …
Measurement consistency of dynamic stretching muscle stiffness evaluated using shear wave elastography: comparison among different stretched levels and ROI sizes.
Liu X, Yu HK, Sheng SY, Liang SM, Lu H, Gu LX, Fu P, Pan M. Liu X, et al. Med Ultrason. 2021 Feb 18;23(1):55-61. doi: 10.11152/mu-2731. Med Ultrason. 2021. PMID: 33621274 Free article.
Intra-observer, and inter-observer repeatability of the measurements were compared among different stretched levels and ROI sizes. RESULTS: Twenty-one healthy volunteers were enrolled. ...Intraclass correlation coefficients (ICCs) of intra-observer and inter-observe …
Intra-observer, and inter-observer repeatability of the measurements were compared among different stretched levels and ROI sizes …
Influence of different region of interest sizes on CT-based radiomics model for microvascular invasion prediction in hepatocellular carcinoma.
Zhao H, Feng Z, Li H, Yao S, Zheng W, Rong P. Zhao H, et al. Zhong Nan Da Xue Xue Bao Yi Xue Ban. 2022 Aug 28;47(8):1049-1057. doi: 10.11817/j.issn.1672-7347.2022.220027. Zhong Nan Da Xue Xue Bao Yi Xue Ban. 2022. PMID: 36097772 Free PMC article. Clinical Trial. Chinese, English.
This study aims to investigate the influence of different region of interest (ROI) sizes on CT-based radiomics model for MVI prediction in HCC. ...This study aims to investigate the influence of different region of interest (ROI) sizes on CT-based radi …
This study aims to investigate the influence of different region of interest (ROI) sizes on CT-based radiomics model for MVI p …
Impact of ROI Size on the Accuracy of Noise Measurement in CT on Computational and ACR Phantoms.
Anam C, Triadyaksa P, Naufal A, Arifin Z, Muhlisin Z, Setiawati E, Budi WS. Anam C, et al. J Biomed Phys Eng. 2022 Aug 1;12(4):359-368. doi: 10.31661/jbpe.v0i0.2202-1457. eCollection 2022 Aug. J Biomed Phys Eng. 2022. PMID: 36059282 Free PMC article.
OBJECTIVE: This study aimed to evaluate the influence of ROI sizes on the accuracy of noise measurement in computed tomography (CT) by using images of a computational and American College of Radiology (ACR) phantoms. ...Noise measurement was conducted at the center …
OBJECTIVE: This study aimed to evaluate the influence of ROI sizes on the accuracy of noise measurement in computed tomography …
A Meta-Analysis of Gaze Differences to Social and Nonsocial Information Between Individuals With and Without Autism.
Frazier TW, Strauss M, Klingemier EW, Zetzer EE, Hardan AY, Eng C, Youngstrom EA. Frazier TW, et al. J Am Acad Child Adolesc Psychiatry. 2017 Jul;56(7):546-555. doi: 10.1016/j.jaac.2017.05.005. Epub 2017 May 11. J Am Acad Child Adolesc Psychiatry. 2017. PMID: 28647006 Free PMC article. Review.
Multivariate mixed-effects meta-regression analyses examined the impact of study methodology, stimulus features, and ROI on effect sizes derived from comparisons using gaze-fixation metrics. RESULTS: The search yielded 122 independent studies with 1,155 comparisons. …
Multivariate mixed-effects meta-regression analyses examined the impact of study methodology, stimulus features, and ROI on effect …
Radiomics in Abdominopelvic Solid-Organ Oncologic Imaging: Current Status.
Liu X, Elbanan MG, Luna A, Haider MA, Smith AD, Sabottke CF, Spieler BM, Turkbey B, Fuentes D, Moawad A, Kamel S, Horvat N, Elsayes KM. Liu X, et al. AJR Am J Roentgenol. 2022 Dec;219(6):985-995. doi: 10.2214/AJR.22.27695. Epub 2022 Jun 29. AJR Am J Roentgenol. 2022. PMID: 35766531 Free PMC article. Review.
This article first reviews the steps of the radiomics pipeline, including image acquisition, ROI selection and image segmentation, image preprocessing, feature extraction, feature selection, and model development and application. ...Limitations of the available literature …
This article first reviews the steps of the radiomics pipeline, including image acquisition, ROI selection and image segmentation, im …
Stability of Radiomic Features across Different Region of Interest Sizes-A CT and MR Phantom Study.
Jensen LJ, Kim D, Elgeti T, Steffen IG, Hamm B, Nagel SN. Jensen LJ, et al. Tomography. 2021 Jun 8;7(2):238-252. doi: 10.3390/tomography7020022. Tomography. 2021. PMID: 34201012 Free PMC article.
Features were extracted using PyRadiomics. We assessed feature stability across ROI sizes with overall concordance correlation coefficients (OCCCs). ...Of 93 features, 87 T1w-derived, 87 TIRM-derived, and 70 CT-derived features were significantly different between …
Features were extracted using PyRadiomics. We assessed feature stability across ROI sizes with overall concordance correlation …
Data-Driven and Predefined ROI-Based Quantification of Long-Term Resting-State fMRI Reproducibility.
Song X, Panych LP, Chen NK. Song X, et al. Brain Connect. 2016 Mar;6(2):136-51. doi: 10.1089/brain.2015.0349. Epub 2015 Nov 18. Brain Connect. 2016. PMID: 26456172 Free PMC article.
It was possible that reproducibility measures strongly depended on the ROI definition. In this work, this issue was investigated by comparing data-driven and predefined ROI-based quantification of reproducibility. ...Experimental results show that (1) a moderate to …
It was possible that reproducibility measures strongly depended on the ROI definition. In this work, this issue was investigated by c …
443 results