Effects of Reconstruction Filter Kernels in Computed Tomography on Radiomic Image Features-Reference-Cited by-同舟云学术

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Effects of Reconstruction Filter Kernels in Computed Tomography on Radiomic Image Features

Published:2023-11-15 Issue: Volume: Page:1-5
ISSN:
Container-title:2023 19th International Symposium on Medical Information Processing and Analysis (SIPAIM)
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Author:

Sweetland Katharine¹,Chu Karen¹,Lei Xiaomeng²,Cen Steven Y.²,Duddalwar Vinay A.³,Varghese Bino A.⁴,Hwang Darryl H.³

Affiliation:

1. Univeristy of Southern California,Alfred E. Mann Department of Biomedical Engineering,Los Angeles,CA,USA

2. University of Southern California,Keck School of Medicine,Department of Radiology,Los Angeles,CA,USA

3. USC Keck School of Medicine,Department of Radiology

4. USC Keck School of Medicine,Department of Radiology,Los Angeles,CA,USA

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10373395/10373414/10373503.pdf?arnumber=10373503

Reference11 articles.

1. The Image Biomarker Standardization Initiative: Standardized Quantitative Radiomics for High-Throughput Image-based Phenotyping

2. Reproducibility of CT Radiomic Features within the Same Patient: Influence of Radiation Dose and CT Reconstruction Settings

3. CT Reconstruction Kernels and the Effect of Pre- and Post-Processing on the Reproducibility of Handcrafted Radiomic Features

4. Investigating the impact of the CT Hounsfield unit range on radiomic feature stability using dual energy CT data

5. Radiomics of CT Features May Be Nonreproducible and Redundant: Influence of CT Acquisition Parameters

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