Artificial intelligence performance in detecting tumor metastasis from medical radiology imaging: A systematic review and meta-analysis-Reference-Cited by-同舟云学术

Artificial intelligence performance in detecting tumor metastasis from medical radiology imaging: A systematic review and meta-analysis

Published:2021-01 Issue: Volume:31 Page:100669
ISSN:2589-5370
Container-title:EClinicalMedicine
language:en
Short-container-title:EClinicalMedicine

Author:

Zheng Qiuhan,Yang Le,Zeng Bin,Li Jiahao,Guo Kaixin,Liang Yujie,Liao Guiqing

Publisher

Elsevier BV

Subject

General Medicine

Reference108 articles.

1. Lymph node ratio as a novel and simple prognostic factor in advanced gastric cancer;Yamashita;Eur J Surg Oncol,2016

2. The TNM classification of malignant tumours-towards common understanding and reasonable expectations;O'Sullivan;Lancet Oncol,2017

3. Improvements in high resolution laryngeal magnetic resonance imaging for preoperative transoral laser microsurgery and radiotherapy considerations in early lesions;Ruytenberg;Front Oncol,2018

4. Imaging of colorectal cancer liver metastases using contrast-enhanced US, multidetector CT, MRI, and FDG PET/CT: a meta-analysis;Tsili;Acta Radiol,2020

5. Accuracy of multiparametric magnetic resonance imaging for diagnosing prostate Cancer: a systematic review and meta-analysis;Zhen;BMC Cancer,2019

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