Influence of image preprocessing on the segmentation-based reproducibility of radiomic features: in vivo experiments on discretization and resampling parameters

Influence of image preprocessing on the segmentation-based reproducibility of radiomic features: in vivo experiments on discretization and resampling parameters

PURPOSE: To systematically investigate the impact of image preprocessing parameters on the segmentation-based reproducibility of magnetic resonance imaging (MRI) radiomic features. METHODS: The MRI scans of 50 patients were included from the multi-institutional Brain Tumor Segmentation 2021 public g...

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Bibliographic Details
Main Authors: Burak Koçak, Sabahattin Yüzkan, Samet Mutlu, Mehmet Karagülle, Ahmet Kala, Mehmet Kadıoğlu, Sıla Solak, Şeyma Sunman, Zişan Hayriye Temiz, Ali Kürşad Ganiyusufoğlu
Format: Article
Language:English
Published: Galenos Publishing House 2024-05-01
Series:Diagnostic and Interventional Radiology
Subjects:
reproducibility
preprocessing
radiomics
texture analysis
biomarker
Online Access: http://www.dirjournal.org/archives/archive-detail/article-preview/nfluence-of-image-preprocessing-on-the-segmentatio/63813

Internet

http://www.dirjournal.org/archives/archive-detail/article-preview/nfluence-of-image-preprocessing-on-the-segmentatio/63813

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