Handcrafted MRI radiomics and machine learning: Classification of indeterminate solid adrenal lesions-Reference-Cited by-同舟云学术

Handcrafted MRI radiomics and machine learning: Classification of indeterminate solid adrenal lesions

Published:2021-06 Issue: Volume:79 Page:52-58
ISSN:0730-725X
Container-title:Magnetic Resonance Imaging
language:en
Short-container-title:Magnetic Resonance Imaging

Author:

Stanzione Arnaldo,Cuocolo Renato,Verde Francesco,Galatola Roberta,Romeo Valeria,Mainenti Pier Paolo,Aprea Giovanni,Guadagno Elia,Del Basso De Caro Marialaura,Maurea Simone

Publisher

Elsevier BV

Subject

Radiology, Nuclear Medicine and imaging,Biomedical Engineering,Biophysics

Reference40 articles.

1. Imaging features of adrenal masses;Albano;Insights Imaging,2019

2. Adrenal masses: MR imaging features with pathologic correlation;Elsayes;RadioGraphics.,2004

3. Magnetic resonance imaging of adrenal gland: state of the art;d’Amuri;Gland Surg,2019

4. Chemical shift MR imaging of the adrenal gland: principles, pitfalls, and applications;Adam;RadioGraphics.,2016

5. Diagnostic accuracy of chemical-shift MR imaging to differentiate between adrenal adenomas and non adenoma adrenal lesions;Maurea;Radiol Med,2006

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