相关参考文献
注意:仅列出部分参考文献,下载原文获取全部文献信息。Computed tomography-based texture analysis of bladder cancer: differentiating urothelial carcinoma from micropapillary carcinoma
Ting-wei Fan et al.
ABDOMINAL RADIOLOGY (2019)
Quantitative Identification of Nonmuscle-Invasive and Muscle-Invasive Bladder Carcinomas: A Multiparametric MRI Radiomics Analysis
Xiaopan Xu et al.
JOURNAL OF MAGNETIC RESONANCE IMAGING (2019)
Radiomic analysis of soft tissues sarcomas can distinguish intermediate from high-grade lesions
Valentina D. A. Corino et al.
JOURNAL OF MAGNETIC RESONANCE IMAGING (2018)
Radiomics signature: A potential biomarker for the prediction of MGMT promoter methylation in glioblastoma
Yi-bin Xi et al.
JOURNAL OF MAGNETIC RESONANCE IMAGING (2018)
Evaluation of Shape and Textural Features from CT as Prognostic Biomarkers in Non-small Cell Lung Cancer
Francesco Bianconi et al.
ANTICANCER RESEARCH (2018)
Radiomics-based features for pattern recognition of lung cancer histopathology and metastases
Jose Raniery Ferreira Junior et al.
COMPUTER METHODS AND PROGRAMS IN BIOMEDICINE (2018)
Pretreatment MR imaging radiomics signatures for response prediction to induction chemotherapy in patients with nasopharyngeal carcinoma
Guangyi Wang et al.
EUROPEAN JOURNAL OF RADIOLOGY (2018)
Primary central nervous system lymphoma and atypical glioblastoma: Differentiation using radiomics approach
Hie Bum Suh et al.
EUROPEAN RADIOLOGY (2018)
Classifying brain metastases by their primary site of origin using a radiomics approach based on texture analysis: a feasibility study
Rafael Ortiz-Ramon et al.
EUROPEAN RADIOLOGY (2018)
Genotype prediction of ATRX mutation in lower-grade gliomas using an MRI radiomics signature
Yiming Li et al.
EUROPEAN RADIOLOGY (2018)
Radiomic Features on MRI Enable Risk Categorization of Prostate Cancer Patients on Active Surveillance: Preliminary Findings
Ahmad Algohary et al.
JOURNAL OF MAGNETIC RESONANCE IMAGING (2018)
Analysis of CT features and quantitative texture analysis in patients with thymic tumors: correlation with grading and staging
Angelo Iannarelli et al.
RADIOLOGIA MEDICA (2018)
Noninvasive IDH1 mutation estimation based on a quantitative radiomics approach for grade II glioma
Jinhua Yu et al.
EUROPEAN RADIOLOGY (2017)
Quantitative computed tomography texture analysis for estimating histological subtypes of thymic epithelial tumors
Koichiro Yasaka et al.
EUROPEAN JOURNAL OF RADIOLOGY (2017)
Computed Tomography Radiomics Predicts HPV Status and Local Tumor Control After Definitive Radiochemotherapy in Head and Neck Squamous Cell Carcinoma
Marta Bogowicz et al.
INTERNATIONAL JOURNAL OF RADIATION ONCOLOGY BIOLOGY PHYSICS (2017)
Radiomic-Based Pathological Response Prediction from Primary Tumors and Lymph Nodes in NSCLC
Thibaud P. Coroller et al.
JOURNAL OF THORACIC ONCOLOGY (2017)
Computational Radiomics System to Decode the Radiographic Phenotype
Joost J. M. van Griethuysen et al.
CANCER RESEARCH (2017)
Radiomics Features of Multiparametric MRI as Novel Prognostic Factors in Advanced Nasopharyngeal Carcinoma
Bin Zhang et al.
CLINICAL CANCER RESEARCH (2017)
Development and Validation of a Radiomics Nomogram for Preoperative Prediction of Lymph Node Metastasis in Colorectal Cancer
Yan-qi Huang et al.
JOURNAL OF CLINICAL ONCOLOGY (2016)
Measuring Computed Tomography Scanner Variability of Radiomics Features
Dennis Mackin et al.
INVESTIGATIVE RADIOLOGY (2015)
Three-dimensional textural features of conventional MRI improve diagnostic classification of childhood brain tumours
Ahmed E. Fetit et al.
NMR IN BIOMEDICINE (2015)
Diffusion-weighted MR Imaging in Thymic Epithelial Tumors: Correlation with World Health Organization Classification and Clinical Staging
Ahmed Abdel Khalek Abdel Razek et al.
RADIOLOGY (2014)
Preoperative CT Findings of Thymoma are Correlated with Postoperative Masaoka Clinical Stage
Yan-juan Qu et al.
ACADEMIC RADIOLOGY (2013)
CT texture analysis using the filtration-histogram method: what do the measurements mean?
Kenneth A. Miles et al.
CANCER IMAGING (2013)
Quantifying tumour heterogeneity with CT
Balaji Ganeshan et al.
CANCER IMAGING (2013)
3D Slicer as an image computing platform for the Quantitative Imaging Network
Andriy Fedorov et al.
MAGNETIC RESONANCE IMAGING (2012)
pROC: an open-source package for R and S plus to analyze and compare ROC curves
Xavier Robin et al.
BMC BIOINFORMATICS (2011)
Computed Tomography Findings Predicting Invasiveness of Thymoma
Edith M. Marom et al.
JOURNAL OF THORACIC ONCOLOGY (2011)
Published Guidelines for Management of Thymoma
Yoshitaka Fujii
THORACIC SURGERY CLINICS (2011)
Histologic classification of thymoma: The World Health Organization and beyond
Saul Suster et al.
HEMATOLOGY-ONCOLOGY CLINICS OF NORTH AMERICA (2008)
Thymic epithelial tumors:: Comparison of CT and MR imaging findings of low-risk thymomas, high-risk thymomas, and thymic carcinomas
Junko Sadohara et al.
EUROPEAN JOURNAL OF RADIOLOGY (2006)
Tumor recurrence and survival in patients treated for thymomas and thymic squamous cell carcinomas:: A retrospective analysis
P Ströbel et al.
JOURNAL OF CLINICAL ONCOLOGY (2004)
WHO histologic classification is a prognostic indicator in thymoma
K Kondo et al.
ANNALS OF THORACIC SURGERY (2004)
Long-term outcome after multimodality treatment for stage III thymic tumors
F Venuta et al.
ANNALS OF THORACIC SURGERY (2003)
Using the World Health Organization classification of thymic epithelial neoplasms to describe CT findings
N Tomiyama et al.
AMERICAN JOURNAL OF ROENTGENOLOGY (2002)
New WHO histologic classification predicts prognosis of thymic epithelial tumors - A clinicopathologic study of 200 thymoma cases from China
G Chen et al.
CANCER (2002)