The Influence of Different Segmentation Methods on the Extraction of Imaging Histological Features of Hepatocellular Carcinoma CT.
In order to analyze the influence of different segmentation techniques on hepatocellular carcinoma (HCC) CT (Computed Tomography) imaging histological feature extraction, Grow Cut method and Graph Cut method are used to segment hepatocellular carcinoma from arterial CT images of HCC patients, and th...
| Publicado en: | Journal of Medical Systems Vol. 43; no. 4 |
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| Autores principales: | , , , |
| Formato: | equations & formulas tables/charts Journal Article |
| Publicado: |
Springer Nature
Apr2019
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| Acceso en línea: | Ver este registro en EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=ccm&AN=135714994&site=ehost-live header: @attributes: shortDbName: ccm uiTerm: 135714994 longDbName: CINAHL Complete uiTag: AN controlInfo: bkinfo: dissinfo: jinfo: jid: 01485598 4N0 jtl: Journal of Medical Systems issn: 01485598 maglogo: N pubinfo: dt: Apr2019 vid: 43 iid: 4 pid: 237 pub: Springer Nature place: New York, New York artinfo: ui: 135714994 135714994 135714994 10.1007/s10916-019-1207-7 135714994 ppct: 1 formats: fmt: – @attributes: type: T – @attributes: type: P tig: atl: The Influence of Different Segmentation Methods on the Extraction of Imaging Histological Features of Hepatocellular Carcinoma CT. aug: au: Zhao, Sen Ren, Wenyan Zhuang, Yan Wang, Zhixue affil: Medical Imaging Center, The First Affiliated Hospital of Henan University, No.357 Ximen Street, 475001, Kaifeng City, Henan, China sug: subj: Carcinoma, Hepatocellular Microbiology Carcinoma, Hepatocellular Radiography Tomography, X-Ray Computed Methods Carcinoma, Hepatocellular Pathology Liver Neoplasms Classification Liver Neoplasms Diagnosis Imaging, Three-Dimensional Methods Diagnosis, Laboratory Equipment and Supplies Software Computers and Computerization ab: In order to analyze the influence of different segmentation techniques on hepatocellular carcinoma (HCC) CT (Computed Tomography) imaging histological feature extraction, Grow Cut method and Graph Cut method are used to segment hepatocellular carcinoma from arterial CT images of HCC patients, and the stability and repeatability of imaging histological features are studied. Meanwhile, hierarchical clustering method is used to reduce the redundancy of features. The results show that the repeatability and redundancy mainly depend on the method of tumor segmentation. Semi-automatic segmentation method can improve the repeatability of image features, and hierarchical clustering can reduce the redundancy of features. Different segmentation techniques have different effects on the extraction of histological features of CT images of HCC. pubtype: Academic Journal doctype: equations & formulas tables/charts Journal Article ougenre: Article language: English refInfo: holdings: @attributes: islocal: N |
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