Correction for Magnetic Field Inhomogeneities and Normalization of Voxel Values Are Needed to Better Reveal the Potential of MR Radiomic Features in Lung Cancer-Reference-Cited by-同舟云学术

Correction for Magnetic Field Inhomogeneities and Normalization of Voxel Values Are Needed to Better Reveal the Potential of MR Radiomic Features in Lung Cancer

Published:2020-01-31 Issue: Volume:10 Page:
ISSN:2234-943X
Container-title:Frontiers in Oncology
language:
Short-container-title:Front. Oncol.

Author:

Lacroix Maxime,Frouin Frédérique,Dirand Anne-Sophie,Nioche Christophe,Orlhac Fanny,Bernaudin Jean-François,Brillet Pierre-Yves,Buvat Irène

Funder

GE Healthcare

Institut National de la Santé et de la Recherche Médicale

Publisher

Frontiers Media SA

Subject

Cancer Research,Oncology

Reference53 articles.

1. Radiomics: the process and the challenges;Kumar;Mag Reson Imag.,2012

2. Radiomic machine-learning classifiers for prognostic biomarkers of head and neck cancer;Parmar;Front Oncol.,2015

3. Artificial intelligence in cancer imaging: clinical challenges and applications;Bi;CA Cancer J Clin.,2019

4. Defining the biological basis of radiomic phenotypes in lung cancer;Grossmann;eLife.,2017

5. Radiomics in glioblastoma: current status and challenges facing clinical implementation;Chaddad;Front Oncol.,2019

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