The effect of preprocessing filters on predictive performance in radiomics

The effect of preprocessing filters on predictive performance in radiomics

Abstract Background Radiomics is a noninvasive method using machine learning to support personalised medicine. Preprocessing filters such as wavelet and Laplacian-of-Gaussian filters are commonly used being thought to increase predictive performance. However, the use of preprocessing filters increas...

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Bibliographic Details
Main Author: Aydin Demircioğlu
Format: Article
Language:English
Published: SpringerOpen 2022-09-01
Series:European Radiology Experimental
Subjects:
Artificial intelligence
Benchmarking
Machine learning
Precision medicine
Radiomics
Online Access:https://doi.org/10.1186/s41747-022-00294-w

Internet

https://doi.org/10.1186/s41747-022-00294-w

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