ROC curves for the prediction of clinical outcomes of AL-CA using the automated native T1 and ECV measurements.

ROC curves for the prediction of clinical outcomes of AL-CA using the automated native T1 and ECV measurements.

Publication Details

Journal
Figshare
Published
2025-01-22
DOI
https://doi.org/10.1371/journal.pone.0317741.s004
Primary Topic
Mycorrhizal Fungi and Plant Interactions
Type
article
Field-Weighted Citation Impact
0.00
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article

ROC curves for the prediction of clinical outcomes of AL-CA using the automated native T1 and ECV measurements.

Figshare
Mycorrhizal Fungi and Plant Interactions
article

ROC curves for the prediction of clinical outcomes of AL-CA using the automated native T1 and ECV measurements.

article en

Abstract

ROC curves for the prediction of clinical outcomes of AL-CA using the automated native T1 and ECV measurements.

Figshare
Openalex Percentile: Top 45%
Mycorrhizal Fungi and Plant Interactions
DOISourceOpenAlex
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ROC curves for the prediction of clinical outcomes of AL-CA using the automated native T1 and ECV measurements. · Figshare (2025) | TGRS Research Map | TGRS