Improving the Reproducibility of Computed Tomography Radiomic Features Using an Enhanced Hierarchical Feature Synthesis Network

Radiomics has gained popularity as a quantitative analysis method for medical images. However, computed tomography (CT) scans are performed using various parameters, such as X-ray dose and reconstruction kernels, which is a fundamental reason for the lack of reproducibility of radiomic features. Thi...

書目詳細資料
發表在:	IEEE Access
Main Authors:	Dawun Jeong, Youngtaek Hong, Jina Lee, Seul Bi Lee, Yeon Jin Cho, Hackjoon Shim, Hyuk-Jae Chang
格式:	Article
語言:	英语
出版:	IEEE 2024-01-01
主題:	Artificial intelligence computed tomography radiomics reproducibility
在線閱讀:	https://ieeexplore.ieee.org/document/10439178/

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