Prediction of breast cancer molecular subtypes on DCE-MRI using convolutional neural network with transfer learning between two centers

Prostate cancer classification with multiparametric MRI transfer learning model

(2019) Yixuan Yuan et al.   MEDICAL PHYSICS

Differentiation of spinal metastases originated from lung and other cancers using radiomics and deep learning based on DCE-MRI

(2019) Ning Lang et al.   MAGNETIC RESONANCE IMAGING

Predicting Breast Cancer Molecular Subtype with MRI Dataset Utilizing Convolutional Neural Network Algorithm

(2019) Richard Ha et al.   JOURNAL OF DIGITAL IMAGING

Deep learning for identifying radiogenomic associations in breast cancer

(2019) Zhe Zhu et al.   COMPUTERS IN BIOLOGY AND MEDICINE

Machine Learning-Based Analysis of MR Multiparametric Radiomics for the Subtype Classification of Breast Cancer

(2019) Tianwen Xie et al.   Frontiers in Oncology

Machine learning for prediction of chemoradiation therapy response in rectal cancer using pre-treatment and mid-radiation multi-parametric MRI

(2019) Liming Shi et al.   MAGNETIC RESONANCE IMAGING

Diagnosis of Benign and Malignant Breast Lesions on DCE‐MRI by Using Radiomics and Deep Learning With Consideration of Peritumor Tissue

(2019) Jiejie Zhou et al.   JOURNAL OF MAGNETIC RESONANCE IMAGING

Breast Cancer Molecular Subtype Prediction by Mammographic Radiomic Features

(2018) Wenjuan Ma et al.   ACADEMIC RADIOLOGY

Deep-Learning Convolutional Neural Networks Accurately Classify Genetic Mutations in Gliomas

(2018) P. Chang et al.   AMERICAN JOURNAL OF NEURORADIOLOGY

Visible Machine Learning for Biomedicine

(2018) Michael K. Yu et al.   CELL

Classifying brain metastases by their primary site of origin using a radiomics approach based on texture analysis: a feasibility study

(2018) Rafael Ortiz-Ramón et al.   EUROPEAN RADIOLOGY

Breast Cancer Diagnosis in Digital Breast Tomosynthesis: Effects of Training Sample Size on Multi-Stage Transfer Learning using Deep Neural Nets

(2018) Ravi K. Samala et al.   IEEE TRANSACTIONS ON MEDICAL IMAGING

Computer-aided diagnosis of lung nodule classification between benign nodule, primary lung cancer, and metastatic lung cancer at different image size using deep convolutional neural network with transfer learning

(2018) Mizuho Nishio et al.   PLoS One

Breast mass classification in sonography with transfer learning using a deep convolutional neural network and color conversion

(2018) Michal Byra et al.   MEDICAL PHYSICS

Radiomic versus Convolutional Neural Networks Analysis for Classification of Contrast-enhancing Lesions at Multiparametric Breast MRI

(2018) Daniel Truhn et al.   RADIOLOGY

Radiomic analysis reveals DCE-MRI features for prediction of molecular subtypes of breast cancer

(2017) Ming Fan et al.   PLoS One

Breast cancer molecular subtype classifier that incorporates MRI features

(2016) Elizabeth J. Sutton et al.   JOURNAL OF MAGNETIC RESONANCE IMAGING

Quantification of breast tumor heterogeneity for ER status, HER2 status, and TN molecular subtype evaluation on DCE-MRI

(2016) Ruey-Feng Chang et al.   MAGNETIC RESONANCE IMAGING

Computerized Image Analysis for Identifying Triple-Negative Breast Cancers and Differentiating Them from Other Molecular Subtypes of Breast Cancer on Dynamic Contrast-enhanced MR Images: A Feasibility Study

(2014) Shannon C. Agner et al.   RADIOLOGY

Microarray-Based Gene Expression Profiling for Molecular Classification of Breast Cancer and Identification of New Targets for Therapy

(2010) Rupninder Sandhu et al.   Labmedicine