Application of ultrasound artificial intelligence in the differential diagnosis between benign and malignant breast lesions of BI-RADS 4A

Evaluation of the predictive ability of ultrasound-based assessment of breast cancer using BI-RADS natural language reporting against commercial transcriptome-based tests

(2020) Neema Jamshidii et al.   PLoS One

Feasibility of computer-assisted diagnosis for breast ultrasound: the results of the diagnostic performance of S-detect from a single center in China

(2019) Chenyang Zhao et al.   Cancer Management and Research

Automatic classification of ultrasound breast lesions using a deep convolutional neural network mimicking human decision-making

(2019) Alexander Ciritsis et al.   EUROPEAN RADIOLOGY

Artificial intelligence in breast imaging

(2019) E.P.V. Le et al.   CLINICAL RADIOLOGY

Two-stage CNNs for computerized BI-RADS categorization in breast ultrasound images

(2019) Yunzhi Huang et al.   Biomedical Engineering Online

Breast-lesions characterization using Quantitative Ultrasound features of peritumoral tissue

(2019) Ziemowit Klimonda et al.   Scientific Reports

A computer-aided diagnosis system for breast ultrasound based on weighted BI-RADS classes

(2018) Arturo Rodríguez-Cristerna et al.   COMPUTER METHODS AND PROGRAMS IN BIOMEDICINE

Role of Clinical and Imaging Risk Factors in Predicting Breast Cancer Diagnosis among BI-RADS 4 Cases

(2018) William Hsu et al.   Clinical Breast Cancer

Radiomics of US texture features in differential diagnosis between triple-negative breast cancer and fibroadenoma

(2018) Si Eun Lee et al.   Scientific Reports

Machine learning for diagnostic ultrasound of triple-negative breast cancer

(2018) Tong Wu et al.   BREAST CANCER RESEARCH AND TREATMENT

The adaptive computer-aided diagnosis system based on tumor sizes for the classification of breast tumors detected at screening ultrasound

(2017) Woo Kyung Moon et al.   ULTRASONICS

Small-window parametric imaging based on information entropy for ultrasound tissue characterization

(2017) Po-Hsiang Tsui et al.   Scientific Reports

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

Nonpalpable BI-RADS 4 breast lesions: sonographic findings and pathology correlation

(2015) Eda Elverici et al.   Diagnostic and Interventional Radiology

Going beyond a First Reader: A Machine Learning Methodology for Optimizing Cost and Performance in Breast Ultrasound Diagnosis

(2015) Santosh S. Venkatesh et al.   ULTRASOUND IN MEDICINE AND BIOLOGY

Identifying ultrasound and clinical features of breast cancer molecular subtypes by ensemble decision

(2015) Lei Zhang et al.   Scientific Reports

Nonpalpable BI-RADS 4 breast lesions: sonographic findings and pathology correlation

(2015) Eda Elverici et al.   Diagnostic and Interventional Radiology

Quantitative Ultrasound Analysis for Classification of BI-RADS Category 3 Breast Masses

(2013) Woo Kyung Moon et al.   JOURNAL OF DIGITAL IMAGING