Predicting the risk stratification of gastrointestinal stromal tumors using machine learning-based ultrasound radiomics
Author:
Funder
Fujian Provincial Finance Department
Publisher
Springer Science and Business Media LLC
Subject
Radiology, Nuclear Medicine and imaging,General Medicine
Link
https://link.springer.com/content/pdf/10.1007/s10396-023-01373-0.pdf
Reference31 articles.
1. Joensuu H, Hohenberger P, Corless CL. Gastrointestinal stromal tumour. Lancet. 2013;382:973–83.
2. Miettinen M, Lasota J. Gastrointestinal stromal tumors—definition, clinical, histological, immunohistochemical, and molecular genetic features and differential diagnosis. Virchows Arch. 2001;438:1–12.
3. Li J, Ye Y, Wang J, et al. Chinese consensus guidelines for diagnosis and management of gastrointestinal stromal tumor. Chin J Cancer Res. 2017;29:281–93.
4. Dietrich CF. Gastrointestinal ultrasound update2011. Praxis. 2012;101:239–50.
5. Herzberg M, Beer M, Anupindi S, et al. Imaging pediatric gastrointestinal stromal tumor (GIST). J Pediatr Surg. 2018;53:1862–70.
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2. Comment on “Predicting the risk stratification of gastrointestinal stromal tumors using machine learning-based ultrasound radiomics”;Journal of Medical Ultrasonics;2024-03-02
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