A machine learning approach for distinguishing uterine sarcoma from leiomyomas based on perfusion weighted MRI parameters-Reference-Cited by-同舟云学术

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A machine learning approach for distinguishing uterine sarcoma from leiomyomas based on perfusion weighted MRI parameters

Published:2019-01 Issue: Volume:110 Page:203-211
ISSN:0720-048X
Container-title:European Journal of Radiology
language:en
Short-container-title:European Journal of Radiology

Author:

Malek Mahrooz,Gity Masoumeh,Alidoosti Azadeh,Oghabian Zeinab,Rahimifar Pariya,Seyed Ebrahimi Seyede Mahdieh,Tabibian Elnaz,Oghabian Mohammad Ali

Publisher

Elsevier BV

Subject

Radiology, Nuclear Medicine and imaging,General Medicine

Reference23 articles.

1. Uterine sarcomas: clinical presentation and MRI features;Santos;Diagn. Interv. Radiol.,2015

2. Clinical presentation and diagnosis of uterine sarcoma, including imaging;Wu;Best Pract. Res. Clin. Obstet. Gynaecol.,2011

3. Uterine sarcomas: a review;D’Angelo;Gynecol. Oncol.,2010

4. Stewart, E.A., Differentiating uterine leiomyomas (fibroids) from uterine sarcomas.

5. Surveillance, epidemiology, and end results analysis of 2677 cases of uterine sarcoma 1989-1999;Brooks;Gynecol. Oncol.,2004

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