A radiograph-based deep learning model improves radiologists’ performance for classification of histological types of primary bone tumors: A multicenter study-Reference-Cited by-同舟云学术

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A radiograph-based deep learning model improves radiologists’ performance for classification of histological types of primary bone tumors: A multicenter study

Published:2024-07 Issue: Volume:176 Page:111496
ISSN:0720-048X
Container-title:European Journal of Radiology
language:en
Short-container-title:European Journal of Radiology

Author:

Xie Zhuoyao,Zhao Huanmiao,Song Liwen,Ye Qiang,Zhong Liming,Li Shisi,Zhang Rui,Wang Menghong,Chen Xiaqing,Lu Zixiao,Yang Wei,Zhao Yinghua^ORCID

Funder

Natural Science Foundation of Guangdong Province

National Natural Science Foundation of China

Publisher

Elsevier BV

Reference38 articles.

1. Cancer statistics, 2018;Siegel;CA Cancer J. Clin.,2018

2. Cancer statistics, 2023;Siegel;CA Cancer J Clin,2023

3. World Health Organization classification of tumors: WHO classification of tumours of soft tissue and bone tumours;World Health Organization Classification of Tumours Editorial Board,2020

4. NCCN Clinical Practice Guidelines for Bone Cancer (version 3.2023), 2023. https://www.nccn.org/guidelines/guidelines-detail?category=1&id=1418. (Accessed June 20 2023).

5. Osteosarcoma treatment - where do we stand? A state of the art review;Luetke;Cancer Treat. Rev.,2014

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