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。PET/CT radiomics in breast cancer: Mind the step
Martina Sollini et al.
METHODS (2021)
Differential diagnostic ability of 18F-FDG PET/CT radiomics features between renal cell carcinoma and renal lymphoma
Sha Zhu et al.
QUARTERLY JOURNAL OF NUCLEAR MEDICINE AND MOLECULAR IMAGING (2021)
Quality of science and reporting of radiomics in oncologic studies: room for improvement according to radiomics quality score and TRIPOD statement
Ji Eun Park et al.
EUROPEAN RADIOLOGY (2020)
Intratumor Heterogeneity Assessed by 18F-FDG PET/CT Predicts Treatment Response and Survival Outcomes in Patients with Hodgkin Lymphoma
Kun-Han Lue et al.
ACADEMIC RADIOLOGY (2020)
Radiomics based on 18F-FDG PET/CT could differentiate breast carcinoma from breast lymphoma using machine-learning approach: A preliminary study
Xuejin Ou et al.
CANCER MEDICINE (2020)
Texture analysis and multiple-instance learning for the classification of malignant lymphomas
Marco Lippi et al.
COMPUTER METHODS AND PROGRAMS IN BIOMEDICINE (2020)
Machine Learning-based Texture Analysis of Contrast-enhanced MR Imaging to Differentiate between Glioblastoma and Primary Central Nervous System Lymphoma
Akira Kunimatsu et al.
MAGNETIC RESONANCE IN MEDICAL SCIENCES (2019)
Two-dimensional Texture Analysis Based on CT Images to Differentiate Pancreatic Lymphoma and Pancreatic Adenocarcinoma: A Preliminary Study
Zixing Huang et al.
ACADEMIC RADIOLOGY (2019)
The utility of MRI histogram and texture analysis for the prediction of histological diagnosis in head and neck malignancies
Noriyuki Fujima et al.
CANCER IMAGING (2019)
A PET Radiomics Model to Predict Refractory Mediastinal Hodgkin Lymphoma
Sarah A. Milgrom et al.
SCIENTIFIC REPORTS (2019)
Novel imaging techniques of rectal cancer: what do radiomics and radiogenomics have to offer? A literature review
Natally Horvat et al.
ABDOMINAL RADIOLOGY (2019)
Prognostic Value of Pretreatment Radiomic Features of 18F-FDG PET in Patients With Hodgkin Lymphoma
Kun-Han Lue et al.
CLINICAL NUCLEAR MEDICINE (2019)
Prognostic Value of Functional Parameters of 18F-FDG-PET Images in Patients with Primary Renal/Adrenal Lymphoma
Manni Wang et al.
CONTRAST MEDIA & MOLECULAR IMAGING (2019)
Towards clinical application of image mining: a systematic review on artificial intelligence and radiomics
Martina Sollini et al.
EUROPEAN JOURNAL OF NUCLEAR MEDICINE AND MOLECULAR IMAGING (2019)
Radiomic features of glucose metabolism enable prediction of outcome in mantle cell lymphoma
Marius E. Mayerhoefer et al.
EUROPEAN JOURNAL OF NUCLEAR MEDICINE AND MOLECULAR IMAGING (2019)
Computed tomography textural analysis for the differentiation of chronic lymphocytic leukemia and diffuse large B cell lymphoma of Richter syndrome
C. P. Reinert et al.
EUROPEAN RADIOLOGY (2019)
Volumetric and texture analysis on FDG PET in evaluating and predicting treatment response and recurrence after chemotherapy in follicular lymphoma
Mitsuaki Tatsumi et al.
INTERNATIONAL JOURNAL OF CLINICAL ONCOLOGY (2019)
Radiomic features and multilayer perceptron network classifier: a robust MRI classification strategy for distinguishing glioblastoma from primary central nervous system lymphoma
Jihye Yun et al.
SCIENTIFIC REPORTS (2019)
F-18-FDG-PET-based radiomics features to distinguish primary central nervous system lymphoma from glioblastoma
Ziren Kong et al.
NEUROIMAGE-CLINICAL (2019)
Three-Dimensional Texture Analysis Based on PET/CT Images to Distinguish Hepatocellular Carcinoma and Hepatic Lymphoma
Hanyue Xu et al.
FRONTIERS IN ONCOLOGY (2019)
Contrast-Enhanced MRI Texture Parameters as Potential Prognostic Factors for Primary Central Nervous System Lymphoma Patients Receiving High-Dose Methotrexate-Based Chemotherapy
Chaoyue Chen et al.
CONTRAST MEDIA & MOLECULAR IMAGING (2019)
Prediction of Overall Survival and Progression-Free Survival by the 18F-FDG PET/CT Radiomic Features in Patients with Primary Gastric Diffuse Large B-Cell Lymphoma
Yi Zhou et al.
CONTRAST MEDIA & MOLECULAR IMAGING (2019)
A Review on a Deep Learning Perspective in Brain Cancer Classification
Gopal S. Tandel et al.
CANCERS (2019)
Treatment Outcome Prediction for Cancer Patients Based on Radiomics and Belief Function Theory
Jian Wu et al.
IEEE TRANSACTIONS ON RADIATION AND PLASMA MEDICAL SCIENCES (2019)
Radiomics and radiogenomics of primary liver cancers
Woo Kyoung Jeong et al.
CLINICAL AND MOLECULAR HEPATOLOGY (2019)
Radiomics in Oncological PET/CT: a Methodological Overview
Seunggyun Ha et al.
NUCLEAR MEDICINE AND MOLECULAR IMAGING (2019)
Magnetic resonance texture analysis utility in differentiating intraparenchymal neurosarcoidosis from primary central nervous system lymphoma: a preliminary analysis
Girish Bathla et al.
NEURORADIOLOGY JOURNAL (2019)
Dual-Energy CT Texture Analysis With Machine Learning for the Evaluation and Characterization of Cervical Lymphadenopathy
Matthew Seidler et al.
COMPUTATIONAL AND STRUCTURAL BIOTECHNOLOGY JOURNAL (2019)
Radiomics and Artificial Intelligence for Biomarker and Prediction Model Development in Oncology
Reza Forghani et al.
COMPUTATIONAL AND STRUCTURAL BIOTECHNOLOGY JOURNAL (2019)
The Applications of Radiomics in Precision Diagnosis and Treatment of Oncology: Opportunities and Challenges
Zhenyu Liu et al.
THERANOSTICS (2019)
Diagnostic and prognostic value of baseline FDG PET/CT skeletal textural features in diffuse large B cell lymphoma
Nicolas Aide et al.
EUROPEAN JOURNAL OF NUCLEAR MEDICINE AND MOLECULAR IMAGING (2018)
Primary central nervous system lymphoma and glioblastoma differentiation based on conventional magnetic resonance imaging by high-throughput SIFT features
Yinsheng Chen et al.
INTERNATIONAL JOURNAL OF NEUROSCIENCE (2018)
Tumor Heterogeneity in Lymphomas: A Different Breed
Christian M. Schuerch et al.
PATHOBIOLOGY (2018)
Influence of inter-observer delineation variability on radiomics stability in different tumor sites
Matea Pavic et al.
ACTA ONCOLOGICA (2018)
18F-FDG PET/CT metabolic tumor parameters and radiomics features in aggressive non-Hodgkin's lymphoma as predictors of treatment outcome and survival
Aatif Parvez et al.
ANNALS OF NUCLEAR MEDICINE (2018)
Discriminatory CT-textural features in splenic infiltration of lymphoma versus splenomegaly in liver cirrhosis versus normal spleens in controls and evaluation of their role for longitudinal lymphoma monitoring
C. P. Reinert et al.
EUROPEAN JOURNAL OF RADIOLOGY (2018)
MR-based radiomics signature in differentiating ocular adnexal lymphoma from idiopathic orbital inflammation
Jian Guo et al.
EUROPEAN RADIOLOGY (2018)
Primary central nervous system lymphoma and atypical glioblastoma: Differentiation using radiomics approach
Hie Bum Suh et al.
EUROPEAN RADIOLOGY (2018)
Sparse Representation-Based Radiomics for the Diagnosis of Brain Tumors
Guoqing Wu et al.
IEEE TRANSACTIONS ON MEDICAL IMAGING (2018)
Towards precision medicine: from quantitative imaging to radiomics
U. Rajendra Acharya et al.
JOURNAL OF ZHEJIANG UNIVERSITY-SCIENCE B (2018)
Diffusion radiomics as a diagnostic model for atypical manifestation of primary central nervous system lymphoma: development and multicenter external validation
Daesung Kang et al.
NEURO-ONCOLOGY (2018)
Prognostic value of baseline, interim and end-of-treatment 18F-FDG PET/CT parameters in extranodal natural killer/T-cell lymphoma: A meta-analysis
Hongxi Wang et al.
PLOS ONE (2018)
Tracking tumor biology with radiomics: A systematic review utilizing a radiomics quality score
Sebastian Sanduleanu et al.
RADIOTHERAPY AND ONCOLOGY (2018)
Comparison between Glioblastoma and Primary Central Nervous System Lymphoma Using MR Image-based Texture Analysis
Akira Kunimatsu et al.
MAGNETIC RESONANCE IN MEDICAL SCIENCES (2018)
Glioblastoma and primary central nervous system lymphoma: Preoperative differentiation by using MRI-based 3D texture analysis
Dong-Dong Xiao et al.
CLINICAL NEUROLOGY AND NEUROSURGERY (2018)
Machine learning based on multi-parametric magnetic resonance imaging to differentiate glioblastoma multiforme from primary cerebral nervous system lymphoma
Masataka Nakagawa et al.
EUROPEAN JOURNAL OF RADIOLOGY (2018)
Radiomics features to distinguish glioblastoma from primary central nervous system lymphoma on multi-parametric MRI
Yikyung Kim et al.
NEURORADIOLOGY (2018)
Radiomics - the value of the numbers in present and future radiology
Mateusz Patyk et al.
POLISH JOURNAL OF RADIOLOGY (2018)
Characterization of PET/CT images using texture analysis: the past, the presenta... any future?
Mathieu Hatt et al.
EUROPEAN JOURNAL OF NUCLEAR MEDICINE AND MOLECULAR IMAGING (2017)
CT-based texture analysis potentially provides prognostic information complementary to interim fdg-pet for patients with hodgkin's and aggressive non-hodgkin's lymphomas
B. Ganeshan et al.
EUROPEAN RADIOLOGY (2017)
CT-based radiomics signature for differentiating Borrmann type IV gastric cancer from primary gastric lymphoma
Zelan Ma et al.
EUROPEAN JOURNAL OF RADIOLOGY (2017)
Association between textural and morphological tumor indices on baseline PET-CT and early metabolic response on interim PET-CT in bulky malignant lymphomas
Faycal Ben Bouallegue et al.
MEDICAL PHYSICS (2017)
Radiomics: the bridge between medical imaging and personalized medicine
Philippe Lambin et al.
NATURE REVIEWS CLINICAL ONCOLOGY (2017)
Differentiation of Enhancing Glioma and Primary Central Nervous System Lymphoma by Texture-Based Machine Learning
P. Alcaide-Leon et al.
AMERICAN JOURNAL OF NEURORADIOLOGY (2017)
Clonal Heterogeneity and Tumor Evolution: Past, Present, and the Future
Nicholas McGranahan et al.
CELL (2017)
Radiomics of pulmonary nodules and lung cancer
Ryan Wilson et al.
TRANSLATIONAL LUNG CANCER RESEARCH (2017)
Differentiation of Diffuse Large B-cell Lymphoma From Follicular Lymphoma Using Texture Analysis on Conventional MR Images at 3.0 Tesla
Xingchen Wu et al.
ACADEMIC RADIOLOGY (2016)
The 2016 revision of the World Health Organization classification of lymphoid neoplasms
Steven H. Swerdlow et al.
BLOOD (2016)
PRISMA harms checklist: improving harms reporting in systematic reviews
Liliane Zorzela et al.
BMJ-BRITISH MEDICAL JOURNAL (2016)
PRISMA harms checklist: improving harms reporting in systematic reviews
Liliane Zorzela et al.
BMJ-BRITISH MEDICAL JOURNAL (2016)
Radiomics in head and neck cancer: from exploration to application
Andrew J. Wong et al.
TRANSLATIONAL CANCER RESEARCH (2016)
Transparent reporting of a multivariable prediction model for individual prognosis or diagnosis (TRIPOD): the TRIPOD statement
Gary S. Collins et al.
BMJ-BRITISH MEDICAL JOURNAL (2015)
Spatial and Temporal Heterogeneity in High-Grade Serous Ovarian Cancer: A Phylogenetic Analysis
Roland F. Schwarz et al.
PLOS MEDICINE (2015)
Transparent reporting of a multivariable prediction model for individual prognosis or diagnosis (TRIPOD): the TRIPOD statement
Gary S. Collins et al.
BMJ-BRITISH MEDICAL JOURNAL (2015)
F-18-FDG PET Uptake Characterization Through Texture Analysis: Investigating the Complementary Nature of Heterogeneity and Functional Tumor Volume in a Multi-Cancer Site Patient Cohort
Mathieu Hatt et al.
JOURNAL OF NUCLEAR MEDICINE (2015)
False Discovery Rates in PET and CT Studies with Texture Features: A Systematic Review
Anastasia Chalkidou et al.
PLOS ONE (2015)
18F-FDG PET-Derived Textural Indices Reflect Tissue-Specific Uptake Pattern in Non-Small Cell Lung Cancer
Fanny Orlhac et al.
PLOS ONE (2015)
The Effect of Small Tumor Volumes on Studies of Intratumoral Heterogeneity of Tracer Uptake
Frank J. Brooks et al.
JOURNAL OF NUCLEAR MEDICINE (2014)
Three-dimensional texture analysis of contrast enhanced CT images for treatment response assessment in Hodgkin lymphoma: Comparison with F-18-FDG PET
Knogler Thomas et al.
MEDICAL PHYSICS (2014)
Quantitative Imaging Network: Data Sharing and Competitive Algorithm Validation Leveraging The Cancer Imaging Archive
Jayashree Kalpathy-Cramer et al.
TRANSLATIONAL ONCOLOGY (2014)
Computer-Aided Staging of Lymphoma Patients With FDG PET/CT Imaging Based on Textural Information
C. Lartizien et al.
IEEE JOURNAL OF BIOMEDICAL AND HEALTH INFORMATICS (2014)
Texture-based classification of different gastric tumors at contrast-enhanced CT
Ahmed Ba-Ssalamah et al.
EUROPEAN JOURNAL OF RADIOLOGY (2013)
Radiomics: Extracting more information from medical images using advanced feature analysis
Philippe Lambin et al.
EUROPEAN JOURNAL OF CANCER (2012)
QUADAS-2: A Revised Tool for the Quality Assessment of Diagnostic Accuracy Studies
Penny F. Whiting et al.
ANNALS OF INTERNAL MEDICINE (2011)
ACCURATE AUTOMATIC DELINEATION OF HETEROGENEOUS FUNCTIONAL VOLUMES IN POSITRON EMISSION TOMOGRAPHY FOR ONCOLOGY APPLICATIONS
Mathieu Hatt et al.
INTERNATIONAL JOURNAL OF RADIATION ONCOLOGY BIOLOGY PHYSICS (2010)
Non-Hodgkin lymphoma response evaluation with MRI texture classification
Lara C. V. Harrison et al.
JOURNAL OF EXPERIMENTAL & CLINICAL CANCER RESEARCH (2009)
Texture analysis on MRI images of non-Hodgkin lymphoma
L. Harrison et al.
COMPUTERS IN BIOLOGY AND MEDICINE (2008)
A gradient-based method for segmenting FDG-PET images:: methodology and validation
Xavier Geets et al.
EUROPEAN JOURNAL OF NUCLEAR MEDICINE AND MOLECULAR IMAGING (2007)
分享论文
