Elaboration of a multimodal MRI-based radiomics signature for the preoperative prediction of the histological subtype in patients with non-small-cell lung cancer
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Title
Elaboration of a multimodal MRI-based radiomics signature for the preoperative prediction of the histological subtype in patients with non-small-cell lung cancer
Authors
Keywords
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Journal
Biomedical Engineering Online
Volume 19, Issue 1, Pages -
Publisher
Springer Science and Business Media LLC
Online
2020-01-21
DOI
10.1186/s12938-019-0744-0
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Note: Only part of the references are listed.- Radiomics for Classifying Histological Subtypes of Lung Cancer Based on Multiphasic Contrast-Enhanced Computed Tomography
- (2019) Linning E et al. JOURNAL OF COMPUTER ASSISTED TOMOGRAPHY
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- A predictive nomogram for individualized recurrence stratification of bladder cancer using multiparametric MRI and clinical risk factors
- (2019) Xiaopan Xu et al. JOURNAL OF MAGNETIC RESONANCE IMAGING
- Repeatability of texture features derived from magnetic resonance and computed tomography imaging and use in predictive models for non-small cell lung cancer outcome
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- (2019) Katarzyna Krysik et al. Journal of Ophthalmology
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- (2019) Usman Bashir et al. BRITISH JOURNAL OF RADIOLOGY
- Nasopharyngeal carcinoma
- (2019) Yu-Pei Chen et al. LANCET
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- (2019) Junjiong Zheng et al. CANCER
- Radiomic signature as a diagnostic factor for histologic subtype classification of non-small cell lung cancer
- (2018) Xinzhong Zhu et al. EUROPEAN RADIOLOGY
- The Diagnostic Value of MR Imaging in Differentiating T Staging of Bladder Cancer: A Meta-Analysis
- (2018) Li Huang et al. RADIOLOGY
- Disease Definition for Schizophrenia by Functional Connectivity Using Radiomics Strategy
- (2018) Long-Biao Cui et al. SCHIZOPHRENIA BULLETIN
- Global cancer statistics 2018: GLOBOCAN estimates of incidence and mortality worldwide for 36 cancers in 185 countries
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- (2018) Pierre Starkov et al. BRITISH JOURNAL OF RADIOLOGY
- Multiregion segmentation of bladder cancer structures in MRI with progressive dilated convolutional networks
- (2018) Jose Dolz et al. MEDICAL PHYSICS
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- (2018) Wenzheng Sun et al. Radiation Oncology
- Three-Dimensional (3D) Computed Tomographic (CT) Assessment of the Sustentaculum Tail to Find Distinctive Characteristics: Implications for Surgery
- (2018) Lei Zhang et al. MEDICAL SCIENCE MONITOR
- Risk Stratification Tools and Prognostic Models in Non–muscle-invasive Bladder Cancer: A Critical Assessment from the European Association of Urology Non-muscle-invasive Bladder Cancer Guidelines Panel
- (2018) Viktor Soukup et al. European Urology Focus
- Radiomics assessment of bladder cancer grade using texture features from diffusion-weighted imaging
- (2017) Xi Zhang et al. JOURNAL OF MAGNETIC RESONANCE IMAGING
- Radiomics: the bridge between medical imaging and personalized medicine
- (2017) Philippe Lambin et al. Nature Reviews Clinical Oncology
- 2D and 3D CT Radiomics Features Prognostic Performance Comparison in Non-Small Cell Lung Cancer
- (2017) Chen Shen et al. Translational Oncology
- Three-dimensional texture features from intensity and high-order derivative maps for the discrimination between bladder tumors and wall tissues via MRI
- (2017) Xiaopan Xu et al. International Journal of Computer Assisted Radiology and Surgery
- PET Radiomics in NSCLC: state of the art and a proposal for harmonization of methodology
- (2017) M. Sollini et al. Scientific Reports
- Longitudinal Changes in Retinal Nerve Fiber Layer Thickness Evaluated Using Avanti Rtvue-XR Optical Coherence Tomography after 23G Vitrectomy for Epiretinal Membrane in Patients with Open-Angle Glaucoma
- (2017) Anita Lyssek-Boroń et al. Journal of Healthcare Engineering
- Measurements of Corneal Thickness in Eyes with Pseudoexfoliation Syndrome: Comparative Study of Different Image Processing Protocols
- (2017) Katarzyna Krysik et al. Journal of Healthcare Engineering
- Preoperative prediction of muscular invasiveness of bladder cancer with radiomic features on conventional MRI and its high-order derivative maps
- (2017) Xiaopan Xu et al. Abdominal Radiology
- Radiomic analysis reveals DCE-MRI features for prediction of molecular subtypes of breast cancer
- (2017) Ming Fan et al. PLoS One
- A Fully-Automatic Multiparametric Radiomics Model: Towards Reproducible and Prognostic Imaging Signature for Prediction of Overall Survival in Glioblastoma Multiforme
- (2017) Qihua Li et al. Scientific Reports
- Comparison of Early Submucosal Enhancement and Tumor Stalk in Staging Bladder Urothelial Carcinoma
- (2016) Huan-jun Wang et al. AMERICAN JOURNAL OF ROENTGENOLOGY
- Radiomics: Images Are More than Pictures, They Are Data
- (2016) Robert J. Gillies et al. RADIOLOGY
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- (2015) Li-Peng Liu et al. Clinical Respiratory Journal
- Automatic classification of prostate cancer Gleason scores from multiparametric magnetic resonance images
- (2015) Duc Fehr et al. PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA
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- (2013) Huan-jun Wang et al. ABDOMINAL IMAGING
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- (2013) Andrew B. Rosenkrantz et al. AMERICAN JOURNAL OF ROENTGENOLOGY
- Advanced Statistical Matrices for Texture Characterization: Application to Cell Classification
- (2013) Guillaume Thibault et al. IEEE TRANSACTIONS ON BIOMEDICAL ENGINEERING
- DW MRI at 3.0 T versus FDG PET/CT for detection of malignant pulmonary tumors
- (2013) Jian Zhang et al. INTERNATIONAL JOURNAL OF CANCER
- Lung Cancer
- (2008) Roy S. Herbst et al. NEW ENGLAND JOURNAL OF MEDICINE
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