Using the K-Nearest Neighbor Algorithm for the Classification of Lymph Node Metastasis in Gastric Cancer
Joint Authors
Li, Chao
Zhang, Su
Zhang, Shuheng
Hui, Chun
Pang, Lifang
Lam, Kinman
Zhang, Huan
Source
Computational and Mathematical Methods in Medicine
Issue
Vol. 2012, Issue 2012 (31 Dec. 2012), pp.1-11, 11 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2012-10-24
Country of Publication
Egypt
No. of Pages
11
Main Subjects
Abstract EN
Accurate tumor, node, and metastasis (TNM) staging, especially N staging in gastric cancer or the metastasis on lymph node diagnosis, is a popular issue in clinical medical image analysis in which gemstone spectral imaging (GSI) can provide more information to doctors than conventional computed tomography (CT) does.
In this paper, we apply machine learning methods on the GSI analysis of lymph node metastasis in gastric cancer.
First, we use some feature selection or metric learning methods to reduce data dimension and feature space.
We then employ the K-nearest neighbor classifier to distinguish lymph node metastasis from nonlymph node metastasis.
The experiment involved 38 lymph node samples in gastric cancer, showing an overall accuracy of 96.33%.
Compared with that of traditional diagnostic methods, such as helical CT (sensitivity 75.2% and specificity 41.8%) and multidetector computed tomography (82.09%), the diagnostic accuracy of lymph node metastasis is high.
GSI-CT can then be the optimal choice for the preoperative diagnosis of patients with gastric cancer in the N staging.
American Psychological Association (APA)
Li, Chao& Zhang, Shuheng& Zhang, Huan& Pang, Lifang& Lam, Kinman& Hui, Chun…[et al.]. 2012. Using the K-Nearest Neighbor Algorithm for the Classification of Lymph Node Metastasis in Gastric Cancer. Computational and Mathematical Methods in Medicine،Vol. 2012, no. 2012, pp.1-11.
https://search.emarefa.net/detail/BIM-505507
Modern Language Association (MLA)
Li, Chao…[et al.]. Using the K-Nearest Neighbor Algorithm for the Classification of Lymph Node Metastasis in Gastric Cancer. Computational and Mathematical Methods in Medicine No. 2012 (2012), pp.1-11.
https://search.emarefa.net/detail/BIM-505507
American Medical Association (AMA)
Li, Chao& Zhang, Shuheng& Zhang, Huan& Pang, Lifang& Lam, Kinman& Hui, Chun…[et al.]. Using the K-Nearest Neighbor Algorithm for the Classification of Lymph Node Metastasis in Gastric Cancer. Computational and Mathematical Methods in Medicine. 2012. Vol. 2012, no. 2012, pp.1-11.
https://search.emarefa.net/detail/BIM-505507
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-505507