Are deep models in radiomics performing better than generic models? A systematic review

Abstract Background Application of radiomics proceeds by extracting and analysing imaging features based on generic morphological, textural, and statistical features defined by formulas. Recently, deep learning methods were applied. It is unclear whether deep models (DMs) can outperform generic mode...

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Bibliographic Details
Main Author: Aydin Demircioğlu
Format: Article
Language:English
Published: SpringerOpen 2023-03-01
Series:European Radiology Experimental
Subjects:
Online Access:https://doi.org/10.1186/s41747-023-00325-0