Reproducibility of quantitative high-throughput BI-RADS features extracted from ultrasound images of breast cancer

Cancer statistics in China, 2015

(2016) Wanqing Chen et al.   CA-A CANCER JOURNAL FOR CLINICIANS

Computer-Aided Diagnosis for Breast Ultrasound Using Computerized BI-RADS Features and Machine Learning Methods

(2016) Juan Shan et al.   ULTRASOUND IN MEDICINE AND BIOLOGY

Cancer statistics, 2015

(2015) Rebecca L. Siegel et al.   CA-A CANCER JOURNAL FOR CLINICIANS

Breast Cancer Ultrasound Images' Sequence Exploration Using BI-RADS Features' Extraction: Towards an Advanced Clinical Aided Tool for Precise Lesion Characterization

(2015) Lamia Sellami et al.   IEEE TRANSACTIONS ON NANOBIOSCIENCE

Computer-aided diagnosis for distinguishing between triple-negative breast cancer and fibroadenomas based on ultrasound texture features

(2015) Woo Kyung Moon et al.   MEDICAL PHYSICS

Can radiomics features be reproducibly measured from CBCT images for patients with non-small cell lung cancer?

(2015) Xenia Fave et al.   MEDICAL PHYSICS

Quantitative ultrasound characterization of locally advanced breast cancer by estimation of its scatterer properties

(2014) Hadi Tadayyon et al.   MEDICAL PHYSICS

Reproducibility and Prognosis of Quantitative Features Extracted from CT Images

(2014) Yoganand Balagurunathan et al.   Translational Oncology

Detection of Breast Cancer With Addition of Annual Screening Ultrasound or a Single Screening MRI to Mammography in Women With Elevated Breast Cancer Risk

(2012) Zheng Zhang   JAMA-JOURNAL OF THE AMERICAN MEDICAL ASSOCIATION

Computer-aided diagnosis using morphological features for classifying breast lesions on ultrasound

(2008) Y.-L. Huang et al.   ULTRASOUND IN OBSTETRICS & GYNECOLOGY

Observer variability of Breast Imaging Reporting and Data System (BI-RADS) for breast ultrasound

(2007) Hye-Jeong Lee et al.   EUROPEAN JOURNAL OF RADIOLOGY