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Discretionary Corrigenda (20)

Published on in Vol 9, No 1 (2021): January

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/25337, first published .
Correction: 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

Correction: 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

Correction: 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
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  1. Granata V, Fusco R, Setola S, Simonetti I, Cozzi D, Grazzini G, Grassi F, Belli A, Miele V, Izzo F, Petrillo A. An update on radiomics techniques in primary liver cancers. Infectious Agents and Cancer 2022;17(1) View
  2. Granata V, Fusco R, Belli A, Borzillo V, Palumbo P, Bruno F, Grassi R, Ottaiano A, Nasti G, Pilone V, Petrillo A, Izzo F. Conventional, functional and radiomics assessment for intrahepatic cholangiocarcinoma. Infectious Agents and Cancer 2022;17(1) View