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...

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Bibliographic Details

Published in:	IEEE Access
Main Authors:	Dawun Jeong, Youngtaek Hong, Jina Lee, Seul Bi Lee, Yeon Jin Cho, Hackjoon Shim, Hyuk-Jae Chang
Format:	Article
Language:	English
Published:	IEEE 2024-01-01
Subjects:	Artificial intelligence computed tomography radiomics reproducibility
Online Access:	https://ieeexplore.ieee.org/document/10439178/