This paper is in the following e-collection/theme issue:

Imaging Informatics (194)

Published on in Vol 8, No 10 (2020): October

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/23578, first published .
A Novel Approach to Assessing Differentiation Degree and Lymph Node Metastasis of Extrahepatic Cholangiocarcinoma: Prediction Using a Radiomics-Based Particle Swarm Optimization and Support Vector Machine Model

A Novel Approach to Assessing Differentiation Degree and Lymph Node Metastasis of Extrahepatic Cholangiocarcinoma: Prediction Using a Radiomics-Based Particle Swarm Optimization and Support Vector Machine Model

A Novel Approach to Assessing Differentiation Degree and Lymph Node Metastasis of Extrahepatic Cholangiocarcinoma: Prediction Using a Radiomics-Based Particle Swarm Optimization and Support Vector Machine Model

Authors of this article:

Xiaopeng Yao1, 2 Author Orcid Image ;   Xinqiao Huang3 Author Orcid Image ;   Chunmei Yang3 Author Orcid Image ;   Anbin Hu1, 2 Author Orcid Image ;   Guangjin Zhou4 Author Orcid Image ;   Mei Ju5 Author Orcid Image ;   Jianbo Lei1, 6 Author Orcid Image ;   Jian Shu3 Author Orcid Image
Article Authors Cited by (12) Tweetations (1) Metrics

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