Deep Learning Radiomics Model of Contrast-Enhanced CT for Differentiating the Primary Source of Liver Metastases-Reference-Cited by-同舟云学术

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Deep Learning Radiomics Model of Contrast-Enhanced CT for Differentiating the Primary Source of Liver Metastases

Published:2024-05 Issue: Volume: Page:
ISSN:1076-6332
Container-title:Academic Radiology
language:en
Short-container-title:Academic Radiology

Author:

Jia Wenjing,Li Fuyan,Cui Yi,Wang Yong,Dai Zhengjun,Yan Qingqing,Liu Xinhui,Li Yuting,Chang Huan,Zeng Qingshi^ORCID

Publisher

Elsevier BV

Reference46 articles.

1. Epidemiology of liver metastases;Horn;Cancer Epidemiol,2020

2. Liver metastases;Tsilimigras;Nat Rev Dis Primers,2021

3. Primary liver cancer: worldwide incidence and trends;Bosch;Gastroenterology,2004

4. Molecular pathways: targeting the microenvironment of liver metastases;Milette;Clin Cancer Res,2017

5. Histopathological growth patterns of liver metastasis: updated consensus guidelines for pattern scoring, perspectives and recent mechanistic insights;Latacz;Br J Cancer,2022

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