Performance of Machine Learning Methods Based on Multi-Sequence Textural Parameters Using Magnetic Resonance Imaging and Clinical Information to Differentiate Malignant and Benign Soft Tissue Tumors-Reference-Cited by-同舟云学术

Performance of Machine Learning Methods Based on Multi-Sequence Textural Parameters Using Magnetic Resonance Imaging and Clinical Information to Differentiate Malignant and Benign Soft Tissue Tumors

Published:2023-01 Issue:1 Volume:30 Page:83-92
ISSN:1076-6332
Container-title:Academic Radiology
language:en
Short-container-title:Academic Radiology

Author:

Nakagawa Masataka,Nakaura Takeshi^ORCID,Yoshida Naofumi,Azuma Minako,Uetani Hiroyuki,Nagayama Yasunori,Kidoh Masafumi,Miyamoto Takeshi,Yamashita Yasuyuki,Hirai Toshinori

Publisher

Elsevier BV

Subject

Radiology, Nuclear Medicine and imaging

Reference25 articles.

1. UK guidelines for the management of soft tissue sarcomas;Dangoor;Clin Sarcoma Res,2016

2. Magnetic resonance imaging biomarkers in musculoskeletal soft tissue tumors: review of conventional features and focus on nonmorphologic imaging;Ahlawat;J Magn Reson Imaging,2019

3. Imaging spectrum in soft tissue sarcomas;Aga;Indian J Surg Oncol,2011

4. Machine learning study of several classifiers trained with texture analysis features to differentiate benign from malignant soft-tissue tumors in T1-MRI images;Juntu;J Magn Reson Imaging,2010

5. Diffusion-weighted magnetic resonance imaging for the initial characterization of non-fatty soft tissue tumors: correlation between T2 signal intensity and ADC values;Teixeira;Skeletal Radiol,2016

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