Machine-Learning Approach to Differentiation of Benign and Malignant Peripheral Nerve Sheath Tumors: A Multicenter Study-Reference-Cited by-同舟云学术

Machine-Learning Approach to Differentiation of Benign and Malignant Peripheral Nerve Sheath Tumors: A Multicenter Study

Published:2021-06-15 Issue:3 Volume:89 Page:509-517
ISSN:0148-396X
Container-title:Neurosurgery
language:en
Short-container-title:Neurosurg.

Author:

Zhang Michael,Tong Elizabeth,Hamrick Forrest,Lee Edward H,Tam Lydia T,Pendleton Courtney,Smith Brandon W,Hug Nicholas F,Biswal Sandip,Seekins Jayne,Mattonen Sarah A,Napel Sandy,Campen Cynthia J,Spinner Robert J,Yeom Kristen W,Wilson Thomas J,Mahan Mark A

Publisher

Ovid Technologies (Wolters Kluwer Health)

Subject

Neurology (clinical),Surgery

Link

http://academic.oup.com/neurosurgery/article-pdf/89/3/509/39629043/nyab212.pdf

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3. Evaluation of 18F-FDG PET and MRI in differentiating benign and malignant peripheral nerve sheath tumors;Broski;Skeletal Radiol,2016

4. The role of [(18)F]FDG-PET/CT in predicting malignant transformation of plexiform neurofibromas in neurofibromatosis-1;Tovmassian;Int J Surg Oncol,2016

5. Solitary benign schwannoma mimics residual malignancy on FDG PET/CT;Bai;Clin Nucl Med,2018

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