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。Artificial intelligence and pathology: From principles to practice and future applications in histomorphology and molecular profiling
Albrecht Stenzinger et al.
SEMINARS IN CANCER BIOLOGY (2022)
R-Peak Detection in ECG Signal Using Yule-Walker and Principal Component Analysis
Varun Gupta et al.
IETE JOURNAL OF RESEARCH (2021)
Machine learning based on clinico-biological features integrated18F-FDG PET/CT radiomics for distinguishing squamous cell carcinoma from adenocarcinoma of lung
Caiyue Ren et al.
EUROPEAN JOURNAL OF NUCLEAR MEDICINE AND MOLECULAR IMAGING (2021)
Global cancer statistics 2020: GLOBOCAN estimates of incidence and mortality worldwide for 36 cancers in 185 countries
Hyuna Sung et al.
CA-A CANCER JOURNAL FOR CLINICIANS (2021)
Radiomics analysis for predicting pembrolizumab response in patients with advanced rare cancers
Rivka R. Colen et al.
JOURNAL FOR IMMUNOTHERAPY OF CANCER (2021)
Identification of expression signatures for non-small-cell lung carcinoma subtype classification
Ran Su et al.
BIOINFORMATICS (2020)
Usefulness of gradient tree boosting for predicting histological subtype and EGFR mutation status of non-small cell lung cancer on 18F FDG-PET/CT
Sho Koyasu et al.
ANNALS OF NUCLEAR MEDICINE (2020)
Elaboration of a multimodal MRI-based radiomics signature for the preoperative prediction of the histological subtype in patients with non-small-cell lung cancer
Xing Tang et al.
BIOMEDICAL ENGINEERING ONLINE (2020)
The Image Biomarker Standardization Initiative: Standardized Quantitative Radiomics for High-Throughput Image-based Phenotyping
Alex Zwanenburg et al.
RADIOLOGY (2020)
A predictive nomogram for individualized recurrence stratification of bladder cancer using multiparametric MRI and clinical risk factors
Xiaopan Xu et al.
JOURNAL OF MAGNETIC RESONANCE IMAGING (2019)
Repeatability of texture features derived from magnetic resonance and computed tomography imaging and use in predictive models for non-small cell lung cancer outcome
R. N. Mahon et al.
PHYSICS IN MEDICINE AND BIOLOGY (2019)
A Comparison of ECG Signal Pre-processing Using FrFT, FrWT and IPCA for Improved Analysis
V. Gupta et al.
IRBM (2019)
Predicting lung nodule malignancies by combining deep convolutional neural network and handcrafted features
Shulong Li et al.
PHYSICS IN MEDICINE AND BIOLOGY (2019)
Perinodular and Intranodular Radiomic Features on Lung CT Images Distinguish Adenocarcinomas from Granulomas
Niha Beig et al.
RADIOLOGY (2019)
Prediction of disease-free survival by the PET/CT radiomic signature in non-small cell lung cancer patients undergoing surgery
Margarita Kirienko et al.
EUROPEAN JOURNAL OF NUCLEAR MEDICINE AND MOLECULAR IMAGING (2018)
Radiomic signature as a diagnostic factor for histologic subtype classification of non-small cell lung cancer
Xinzhong Zhu et al.
EUROPEAN RADIOLOGY (2018)
Applicability of a prognostic CT-based radiomic signature model trained on stage I-III non-small cell lung cancer in stage IV non-small cell lung cancer
Evelyn E. C. de Jong et al.
LUNG CANCER (2018)
Global cancer statistics 2018: GLOBOCAN estimates of incidence and mortality worldwide for 36 cancers in 185 countries
Freddie Bray et al.
CA-A CANCER JOURNAL FOR CLINICIANS (2018)
Using deep-learning radiomics to predict lung cancer histology.
Tafadzwa Lawrence Chaunzwa et al.
JOURNAL OF CLINICAL ONCOLOGY (2018)
Development and Validation of an MRI-Based Radiomics Signature for the Preoperative Prediction of Lymph Node Metastasis in Bladder Cancer
Shaoxu Wu et al.
EBIOMEDICINE (2018)
A computer-aided diagnosis scheme of breast lesion classification using GLGLM and shape features: Combined-view and multi-classifiers
Cuixia Liang et al.
PHYSICA MEDICA-EUROPEAN JOURNAL OF MEDICAL PHYSICS (2018)
Effect of machine learning methods on predicting NSCLC overall survival time based on Radiomics analysis
Wenzheng Sun et al.
RADIATION ONCOLOGY (2018)
Intra-tumoural heterogeneity characterization through texture and colour analysis for differentiation of non-small cell lung carcinoma subtypes
Yuan Ma et al.
PHYSICS IN MEDICINE AND BIOLOGY (2018)
2D and 3D CT Radiomics Features Prognostic Performance Comparison in Non-Small Cell Lung Cancer
Chen Shen et al.
TRANSLATIONAL ONCOLOGY (2017)
Three-dimensional texture features from intensity and high-order derivative maps for the discrimination between bladder tumors and wall tissues via MRI
Xiaopan Xu et al.
INTERNATIONAL JOURNAL OF COMPUTER ASSISTED RADIOLOGY AND SURGERY (2017)
PET Radiomics in NSCLC: state of the art and a proposal for harmonization of methodology
M. Sollini et al.
SCIENTIFIC REPORTS (2017)
Preoperative prediction of muscular invasiveness of bladder cancer with radiomic features on conventional MRI and its high-order derivative maps
Xiaopan Xu et al.
ABDOMINAL RADIOLOGY (2017)
A Radiomics Nomogram for the Preoperative Prediction of Lymph Node Metastasis in Bladder Cancer
Shaoxu Wu et al.
CLINICAL CANCER RESEARCH (2017)
Computational Radiomics System to Decode the Radiographic Phenotype
Joost J. M. van Griethuysen et al.
CANCER RESEARCH (2017)
Diagnostic Concordance of Non-Small Cell Lung Carcinoma Subtypes Between Biopsy and Cytology Specimens Obtained During the Same Procedure
Mojgan Ebrahimi et al.
CANCER CYTOPATHOLOGY (2016)
Exploratory Study to Identify Radiomics Classifiers for Lung Cancer Histology
Weimiao Wu et al.
FRONTIERS IN ONCOLOGY (2016)
Linear vs. quadratic discriminant analysis classifier: a tutorial
Alaa Tharwat
INTERNATIONAL JOURNAL OF APPLIED PATTERN RECOGNITION (2016)
Automatic classification of prostate cancer Gleason scores from multiparametric magnetic resonance images
Duc Fehr et al.
PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA (2015)
A hybrid intelligent system for medical data classification
Manjeevan Seera et al.
EXPERT SYSTEMS WITH APPLICATIONS (2014)
Advanced Statistical Matrices for Texture Characterization: Application to Cell Classification
Guillaume Thibault et al.
IEEE TRANSACTIONS ON BIOMEDICAL ENGINEERING (2014)
Predicting disease risks from highly imbalanced data using random forest
Mohammed Khalilia et al.
BMC MEDICAL INFORMATICS AND DECISION MAKING (2011)
Molecular origins of cancer: Lung cancer
Roy S. Herbst et al.
NEW ENGLAND JOURNAL OF MEDICINE (2008)
Selection of important variables and determination of functional form for continuous predictors in multivariable model building
Willi Sauerbrei et al.
STATISTICS IN MEDICINE (2007)
Feature selection based on mutual information: Criteria of max-dependency, max-relevance, and min-redundancy
HC Peng et al.
IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE (2005)
分享论文
