Fuzzy C-means clustering of magnetic resonance imaging on apparent diffusion coefficient maps for predicting nodal metastasis in head and neck cancer.

Lee, Ming-Che; Chuang, Keh-Shih; Chen, Mu-Kuan; Liu, Chi-Kuang; Lee, Kwo-Whei; Tsai, Hui-Yu; Lin, Hsin-Hon

Lee, Ming-Che; Chuang, Keh-Shih; Chen, Mu-Kuan; Liu, Chi-Kuang; Lee, Kwo-Whei; Tsai, Hui-Yu; Lin, Hsin-Hon.

Affiliation

Lee MC; 1 Biomedical Engineering and Environmental Sciences, National Tsing Hua University, Hsinchu, Taiwan.
Chuang KS; 2 Department of Medical Imaging, Changhua Christian Hospital, Changhua, Taiwan.
Chen MK; 3 Department of Medical Imaging and Radiological Science, Central Taiwan University of Science and Technology, Taichung, Taiwan.
Liu CK; 1 Biomedical Engineering and Environmental Sciences, National Tsing Hua University, Hsinchu, Taiwan.
Lee KW; 4 Superintendent's Office, Changhua Christian Hospital, Changhua, Taiwan.
Tsai HY; 2 Department of Medical Imaging, Changhua Christian Hospital, Changhua, Taiwan.
Lin HH; 2 Department of Medical Imaging, Changhua Christian Hospital, Changhua, Taiwan.

Br J Radiol ; 89(1063): 20150059, 2016 Jul.

Article de En | MEDLINE | ID: mdl-27168028

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Texte intégral: 1 Collection: 01-internacional Base de données: MEDLINE Sujet principal: Algorithmes / Traitement d'image par ordinateur / Imagerie par résonance magnétique / Tumeurs de la tête et du cou / Noeuds lymphatiques Type d'étude: Diagnostic_studies / Prognostic_studies / Risk_factors_studies Limites: Adult / Aged / Female / Humans / Male / Middle aged Langue: En Journal: Br J Radiol Année: 2016 Type de document: Article Pays d'affiliation: Taïwan Pays de publication: Royaume-Uni

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