Developing a new radiomics-based CT image marker to detect lymph node metastasis among cervical cancer patients

Cancer statistics, 2020

(2020) Rebecca L. Siegel et al.   CA-A CANCER JOURNAL FOR CLINICIANS

Preoperative computed tomography‐guided disease‐free survival prediction in gastric cancer: a multicenter radiomics study

(2020) Siwen Wang et al.   MEDICAL PHYSICS

Machine learning-based analysis of CT radiomics model for prediction of colorectal metachronous liver metastases

(2020) Marjaneh Taghavi et al.   Abdominal Radiology

Classification of Breast Masses Using a Computer-Aided Diagnosis Scheme of Contrast Enhanced Digital Mammograms

(2018) Gopichandh Danala et al.   ANNALS OF BIOMEDICAL ENGINEERING

Prediction of chemotherapy response in ovarian cancer patients using a new clustered quantitative image marker

(2018) Abolfazl Zargari et al.   PHYSICS IN MEDICINE AND BIOLOGY

Radiomics of CT Features May Be Nonreproducible and Redundant: Influence of CT Acquisition Parameters

(2018) Roberto Berenguer et al.   RADIOLOGY

Classification of Tumor Epithelium and Stroma by Exploiting Image Features Learned by Deep Convolutional Neural Networks

(2018) Yue Du et al.   ANNALS OF BIOMEDICAL ENGINEERING

Fusion of quantitative imaging features and serum biomarkers to improve performance of computer‐aided diagnosis scheme for lung cancer: A preliminary study

(2018) Jing Gong et al.   MEDICAL PHYSICS

2D and 3D CT Radiomics Features Prognostic Performance Comparison in Non-Small Cell Lung Cancer

(2017) Chen Shen et al.   Translational Oncology

Plasma exosomal miRNAs-based prognosis in metastatic kidney cancer

(2017) Meijun Du et al.   Oncotarget

Improvement in prediction of prostate cancer prognosis with somatic mutational signatures

(2017) Shengping Zhang et al.   Journal of Cancer

Radiomics-based Prognosis Analysis for Non-Small Cell Lung Cancer

(2017) Yucheng Zhang et al.   Scientific Reports

Applying a new quantitative global breast MRI feature analysis scheme to assess tumor response to chemotherapy

(2016) Faranak Aghaei et al.   JOURNAL OF MAGNETIC RESONANCE IMAGING

Predicting non-small cell lung cancer prognosis by fully automated microscopic pathology image features

(2016) Kun-Hsing Yu et al.   Nature Communications

The Potential of Radiomic-Based Phenotyping in Precision Medicine

(2016) Hugo J. W. L. Aerts   JAMA Oncology

Discrimination of Breast Cancer with Microcalcifications on Mammography by Deep Learning

(2016) Jinhua Wang et al.   Scientific Reports

Measuring Computed Tomography Scanner Variability of Radiomics Features

(2015) Dennis Mackin et al.   INVESTIGATIVE RADIOLOGY

Deep learning

(2015) Yann LeCun et al.   NATURE

Magnetic resonance image features identify glioblastoma phenotypic subtypes with distinct molecular pathway activities

(2015) Haruka Itakura et al.   Science Translational Medicine

Optimization of breast mass classification using sequential forward floating selection (SFFS) and a support vector machine (SVM) model

(2014) Maxine Tan et al.   International Journal of Computer Assisted Radiology and Surgery

Assessment of Performance Improvement in Content-based Medical Image Retrieval Schemes Using Fractal Dimension

(2009) Sang Cheol Park et al.   ACADEMIC RADIOLOGY

Imaging of lymph node metastases in cervical cancer

(2008) M. Q. Bernardini et al.   CANADIAN MEDICAL ASSOCIATION JOURNAL

Diagnostic accuracy of tests for lymph node status in primary cervical cancer: a systematic review and meta-analysis

(2008) T. J. Selman et al.   CANADIAN MEDICAL ASSOCIATION JOURNAL