Staging of cervical cancer based on tumor heterogeneity characterized by texture features on 18F-FDG PET images

Physics in Medicine and Biology

Volumn 60, Issue 13, 2015, Pages 5123-5139

  Mu, Wei ^a,b   Chen, Zhe ^a,b   Liang, Ying ^c   Shen, Wei ^a,b   Yang, Feng ^d   Dai, Ruwei ^a,b   Wu, Ning ^c   Tian, Jie ^a,b  

^a INSTITUTE OF AUTOMATION   (China)

^b Beijing National Laboratory of Molecular Sciences   (China)

^c PEKING UNION MEDICAL COLLEGE   (China)

^d BEIJING JIAOTONG UNIVERSITY   (China)

Author keywords

cancer staging; Cervical cancer; PET CT images; texture analysis; tumor segmentation

Indexed keywords

AUTOMATIC INDEXING; CORRELATION METHODS; DISEASES; IMAGE SEGMENTATION; NUMERICAL METHODS; SUPPORT VECTOR MACHINES; TEXTURES; TUMORS;

AUTOMATIC CLASSIFICATION; CANCER STAGING; CERVICAL CANCERS; DISCRIMINATIVE FEATURES; RECEIVER OPERATING CHARACTERISTIC CURVES; STATISTICALLY SIGNIFICANT DIFFERENCE; TEXTURE ANALYSIS; TUMOR SEGMENTATION;

IMAGE TEXTURE;

FLUORODEOXYGLUCOSE F 18; RADIOPHARMACEUTICAL AGENT;

AREA UNDER THE CURVE; COMPUTER ASSISTED DIAGNOSIS; FEMALE; HUMAN; METABOLISM; PATHOLOGY; POSITRON EMISSION TOMOGRAPHY; PROCEDURES; RECEIVER OPERATING CHARACTERISTIC; RETROSPECTIVE STUDY; SCINTISCANNING; SQUAMOUS CELL CARCINOMA; SUPPORT VECTOR MACHINE; TISSUE DISTRIBUTION; TUMOR VOLUME; UTERINE CERVIX TUMOR;

AREA UNDER CURVE; CARCINOMA, SQUAMOUS CELL; FEMALE; FLUORODEOXYGLUCOSE F18; HUMANS; IMAGE INTERPRETATION, COMPUTER-ASSISTED; POSITRON-EMISSION TOMOGRAPHY; RADIOPHARMACEUTICALS; RETROSPECTIVE STUDIES; ROC CURVE; SUPPORT VECTOR MACHINE; TISSUE DISTRIBUTION; TUMOR BURDEN; UTERINE CERVICAL NEOPLASMS;

EID: 84933574372     PISSN: 00319155     EISSN: 13616560     Source Type: Journal    
DOI: 10.1088/0031-9155/60/13/5123     Document Type: Article

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