Back to search

Article

Identification of Persistent Radiomics Feature Co-occurrence Across Diverse Tissue Types and Individuals: A Network-Based Analysis of the RADAPT CT Atlas

2026-07-19

Abstract excerpt

<h4>Objectives</h4> Radiomics pipelines extract hundreds of quantitative features that are widely known to be redundant, but the structure of this redundancy is usually treated as a per-dataset nuisance to be pruned away. We tested the alternative hypothesis that a substantial number of feature–feature correlations are universal: they persist across patients and across anatomically distinct structures because the...

Topics

Open a Topic to create a Post that cites this publication.

Identifiers and source

Literature Corpus work
bd63c34e-3537-5e23-b4de-249ea5a9474d
DOI
10.64898/2026.07.17.26358252
Open publication

Related research

Semantic proximity does not establish scientific evidence.

Click a neighbor to travelStep 1 · 12 closest
Interactive article relationship graphSelect a related publication card to move it into the centre and load its closest explainable connections. Solid lines are source-backed structured connections. Dashed lines are semantic discovery signals and are not scientific evidence.
Identification of Persistent Radiomics Feature Co-occurrence Across Diverse Tissue Types and Individuals: A Network-Based Analysis of the RADAPT CT AtlasDOI 10.64898/2026.07.17.26358252
Select a neighboring publication to make it the new centre.