4.6 Article

Prediction of pathologic stage in non-small cell lung cancer using machine learning algorithm based on CT image feature analysis

Related references

Note: Only part of the references are listed.
Review Pharmacology & Pharmacy

Application of Machine Learning Approaches for the Design and Study of Anticancer Drugs

Yan Hu et al.

CURRENT DRUG TARGETS (2019)

Review Computer Science, Artificial Intelligence

An extensive experimental survey of regression methods

M. Fernandez-Delgado et al.

NEURAL NETWORKS (2019)

Article Oncology

Development and Validation of a Predictive Radiomics Model for Clinical Outcomes in Stage I Non-small Cell Lung Cancer

Wen Yu et al.

INTERNATIONAL JOURNAL OF RADIATION ONCOLOGY BIOLOGY PHYSICS (2018)

Article Computer Science, Interdisciplinary Applications

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)

Article Radiology, Nuclear Medicine & Medical Imaging

Novel Radiomic Signature as a Prognostic Biomarker for Locally Advanced Rectal Cancer

Yankai Meng et al.

JOURNAL OF MAGNETIC RESONANCE IMAGING (2018)

Article Radiology, Nuclear Medicine & Medical Imaging

Exploration of temporal stability and prognostic power of radiomic features based on electronic portal imaging device images

Mazen Soufi et al.

PHYSICA MEDICA-EUROPEAN JOURNAL OF MEDICAL PHYSICS (2018)

Review Multidisciplinary Sciences

The biology and management of non-small cell lung cancer

Roy S. Herbst et al.

NATURE (2018)

Article Medicine, General & Internal

Diagnostic Assessment of Deep Learning Algorithms for Detection of Lymph Node Metastases in Women With Breast Cancer

Babak Ehteshami Bejnordi et al.

JAMA-JOURNAL OF THE AMERICAN MEDICAL ASSOCIATION (2017)

Article Multidisciplinary Sciences

Delta-radiomics features for the prediction of patient outcomes in non-small cell lung cancer

Xenia Fave et al.

SCIENTIFIC REPORTS (2017)

Review Computer Science, Interdisciplinary Applications

Automatic 3D pulmonary nodule detection in CT images: A survey

Igor Rafael S. Valente et al.

COMPUTER METHODS AND PROGRAMS IN BIOMEDICINE (2016)

Article Oncology

CT-based radiomic signature predicts distant metastasis in lung adenocarcinoma

Thibaud P. Coroller et al.

RADIOTHERAPY AND ONCOLOGY (2015)

Review Oncology

Predicting outcomes in radiation oncology-multifactorial decision support systems

Philippe Lambin et al.

NATURE REVIEWS CLINICAL ONCOLOGY (2013)

Article Oncology

Radiomics: Extracting more information from medical images using advanced feature analysis

Philippe Lambin et al.

EUROPEAN JOURNAL OF CANCER (2012)

Article Cardiac & Cardiovascular Systems

Prediction of pathologic node-negative clinical stage IA lung adenocarcinoma for optimal candidates undergoing sublobar resection

Yasuhiro Tsutani et al.

JOURNAL OF THORACIC AND CARDIOVASCULAR SURGERY (2012)

Article Pathology

Translational research and diagnostics in lung cancer

F. Goeke et al.

PATHOLOGE (2012)

Article Critical Care Medicine

Tumor size predicts survival within stage IA non-small cell lung cancer

JL Port et al.

CHEST (2003)