Lung cancer histology classification from CT images based on radiomics and deep learning models

A review on radiomics and the future of theranostics for patient selection in precision medicine

(2018) Simon A Keek et al.   BRITISH JOURNAL OF RADIOLOGY

Survey on deep learning for radiotherapy

(2018) Philippe Meyer et al.   COMPUTERS IN BIOLOGY AND MEDICINE

Radiomics and radiogenomics in lung cancer: A review for the clinician

(2018) Rajat Thawani et al.   LUNG CANCER

Comprehensive Computed Tomography Radiomics Analysis of Lung Adenocarcinoma for Prognostication

(2018) Geewon Lee et al.   ONCOLOGIST

Context aware decision support in neurosurgical oncology based on an efficient classification of endomicroscopic data

(2018) Yachun Li et al.   International Journal of Computer Assisted Radiology and Surgery

Using deep-learning radiomics to predict lung cancer histology.

(2018) Tafadzwa Lawrence Chaunzwa et al.   JOURNAL OF CLINICAL ONCOLOGY

Voxel size and gray level normalization of CT radiomic features in lung cancer

(2018) Muhammad Shafiq-ul-Hassan et al.   Scientific Reports

Automatic nodule detection for lung cancer in CT images: A review

(2018) Guobin Zhang et al.   COMPUTERS IN BIOLOGY AND MEDICINE

Multiview convolutional neural networks for lung nodule classification

(2017) Kui Liu et al.   INTERNATIONAL JOURNAL OF IMAGING SYSTEMS AND TECHNOLOGY

Content-based image retrieval for Lung Nodule Classification Using Texture Features and Learned Distance Metric

(2017) Guohui Wei et al.   JOURNAL OF MEDICAL SYSTEMS

A survey on deep learning in medical image analysis

(2017) Geert Litjens et al.   MEDICAL IMAGE ANALYSIS

Convolutional Neural Networks for Medical Image Analysis: Full Training or Fine Tuning?

(2016) Nima Tajbakhsh et al.   IEEE TRANSACTIONS ON MEDICAL IMAGING

Pulmonary Nodule Detection in CT Images: False Positive Reduction Using Multi-View Convolutional Networks

(2016) Arnaud Arindra Adiyoso Setio et al.   IEEE TRANSACTIONS ON MEDICAL IMAGING

Applications and limitations of radiomics

(2016) Stephen S F Yip et al.   PHYSICS IN MEDICINE AND BIOLOGY

Classification of Non-Small Cell Lung Cancer Using Significance Analysis of Microarray-Gene Set Reduction Algorithm

(2016) Lei Zhang et al.   Biomed Research International

Exploratory Study to Identify Radiomics Classifiers for Lung Cancer Histology

(2016) Weimiao Wu et al.   Frontiers in Oncology

The 2015 World Health Organization Classification of Lung Tumors

(2015) William D. Travis et al.   Journal of Thoracic Oncology

A radiomics model from joint FDG-PET and MRI texture features for the prediction of lung metastases in soft-tissue sarcomas of the extremities

(2015) M Vallières et al.   PHYSICS IN MEDICINE AND BIOLOGY

Early prediction of tumor recurrence based on CT texture changes after stereotactic ablative radiotherapy (SABR) for lung cancer

(2014) Sarah A. Mattonen et al.   MEDICAL PHYSICS

Decoding tumour phenotype by noninvasive imaging using a quantitative radiomics approach

(2014) Hugo J. W. L. Aerts et al.   Nature Communications

Population-Based Risk for Complications After Transthoracic Needle Lung Biopsy of a Pulmonary Nodule: An Analysis of Discharge Records

(2013) Renda Soylemez Wiener et al.   ANNALS OF INTERNAL MEDICINE

Differences Between Squamous Cell Carcinoma and Adenocarcinoma of the Lung: Are Adenocarcinoma and Squamous Cell Carcinoma Prognostically Equal?

(2011) A. Kawase et al.   JAPANESE JOURNAL OF CLINICAL ONCOLOGY

Systematic Evaluation of Genetic Variants in Three Biological Pathways on Patient Survival in Low-Stage Non-small Cell Lung Cancer

(2011) V. Shane Pankratz et al.   Journal of Thoracic Oncology