Support Vector Machines Model of Computed Tomography for Assessing Lymph Node Metastasis in Esophageal Cancer with Neoadjuvant Chemotherapy.

Journal: Journal of computer assisted tomography

Published Date: Jan 1, 2017

Abstract

OBJECTIVE: The aim of this study was to diagnose lymph node metastasis of esophageal cancer by support vector machines model based on computed tomography.

Authors

Zhi-Long Wang

From the *Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education), Department of Radiology, Peking University Cancer Hospital & Institute, Beijing, China; and †Department of Radiation Oncology, The University of Texas Southwestern Medical Center, Dallas, Texas.
Zhi-Guo Zhou
Ying Chen

Department of Endocrinology and Metabolism, Fudan Institute of Metabolic Diseases, Zhongshan Hospital, Fudan University, Shanghai, China.
Xiao-Ting Li
Ying-Shi Sun

Keywords

Adult Aged Esophageal Neoplasms Female Humans Image Processing, Computer-Assisted Lymph Nodes Lymphatic Metastasis Male Middle Aged Neoadjuvant Therapy Retrospective Studies Support Vector Machine Tomography, X-Ray Computed

External Resources

View on PubMed Access via DOI PubMed (27879527)

Support Vector Machines Model of Computed Tomography for Assessing Lymph Node Metastasis in Esophageal Cancer with Neoadjuvant Chemotherapy.

Abstract

Authors

Keywords

External Resources

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