Radiomics and machine learning for predicting the consistency of benign tumors of the central nervous system: A systematic review-Reference-Cited by-同舟云学术

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Radiomics and machine learning for predicting the consistency of benign tumors of the central nervous system: A systematic review

Published:2023-07 Issue: Volume:164 Page:110866
ISSN:0720-048X
Container-title:European Journal of Radiology
language:en
Short-container-title:European Journal of Radiology

Author:

Koechli Carole^ORCID,Zwahlen Daniel R.,Schucht Philippe,Windisch Paul

Publisher

Elsevier BV

Subject

Radiology, Nuclear Medicine and imaging,General Medicine

Reference202 articles.

1. A review of original articles published in the emerging field of radiomics;Song;Eur. J. Radiol.,2020

2. Deep learning and neurology: a systematic review;Valliani;Neurol Ther.,2019

3. Machine learning, US National Library of Medicine National Institutes of Health. PubMed. (n.d.). https://www.ncbi.nlm.nih.gov/pubmed/?term=Machine+learning. (accessed August 18, 2021).

4. Tracking tumor biology with radiomics: A systematic review utilizing a radiomics quality score;Sanduleanu;Radiother. Oncol.,2018

5. Petroclival meningiomas: surgical management and common complications;Tahara;J. Clin. Neurosci.,2009

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