![A multicenter, hospital-based and non-inferiority study for diagnostic efficacy of automated whole breast ultrasound for breast cancer in China | Scientific Reports A multicenter, hospital-based and non-inferiority study for diagnostic efficacy of automated whole breast ultrasound for breast cancer in China | Scientific Reports](https://media.springernature.com/full/springer-static/image/art%3A10.1038%2Fs41598-021-93350-1/MediaObjects/41598_2021_93350_Fig1_HTML.png)
A multicenter, hospital-based and non-inferiority study for diagnostic efficacy of automated whole breast ultrasound for breast cancer in China | Scientific Reports
![Table 2 from Diagnostic value of breast ultrasound in mammography BI-RADS 0 and clinically indeterminate or suspicious of malignancy breast lesions. | Semantic Scholar Table 2 from Diagnostic value of breast ultrasound in mammography BI-RADS 0 and clinically indeterminate or suspicious of malignancy breast lesions. | Semantic Scholar](https://d3i71xaburhd42.cloudfront.net/41ab45a6004ccb94f4d36a3f2b337ba876b17036/4-Table2-1.png)
Table 2 from Diagnostic value of breast ultrasound in mammography BI-RADS 0 and clinically indeterminate or suspicious of malignancy breast lesions. | Semantic Scholar
![Diagnostics | Free Full-Text | BI-RADS-Based Classification of Mammographic Soft Tissue Opacities Using a Deep Convolutional Neural Network Diagnostics | Free Full-Text | BI-RADS-Based Classification of Mammographic Soft Tissue Opacities Using a Deep Convolutional Neural Network](https://www.mdpi.com/diagnostics/diagnostics-12-01564/article_deploy/html/images/diagnostics-12-01564-g002.png)
Diagnostics | Free Full-Text | BI-RADS-Based Classification of Mammographic Soft Tissue Opacities Using a Deep Convolutional Neural Network
![Automated assessment of BI-RADS categories for ultrasound images using multi-scale neural networks with an order-constrained loss function | SpringerLink Automated assessment of BI-RADS categories for ultrasound images using multi-scale neural networks with an order-constrained loss function | SpringerLink](https://media.springernature.com/lw685/springer-static/image/art%3A10.1007%2Fs10489-021-03140-5/MediaObjects/10489_2021_3140_Fig1_HTML.png)
Automated assessment of BI-RADS categories for ultrasound images using multi-scale neural networks with an order-constrained loss function | SpringerLink
![Sensors | Free Full-Text | A High-Performance Deep Neural Network Model for BI-RADS Classification of Screening Mammography Sensors | Free Full-Text | A High-Performance Deep Neural Network Model for BI-RADS Classification of Screening Mammography](https://www.mdpi.com/sensors/sensors-22-01160/article_deploy/html/images/sensors-22-01160-g001-550.jpg)
Sensors | Free Full-Text | A High-Performance Deep Neural Network Model for BI-RADS Classification of Screening Mammography
![Breast microcalcifications: The UK RCR 5-point breast imaging system or BI- RADS; which is the better predictor of malignancy? | Semantic Scholar Breast microcalcifications: The UK RCR 5-point breast imaging system or BI- RADS; which is the better predictor of malignancy? | Semantic Scholar](https://d3i71xaburhd42.cloudfront.net/b7d4e57669ecd99a224eb865d66a4bc73a9df325/2-Figure1-1.png)
Breast microcalcifications: The UK RCR 5-point breast imaging system or BI- RADS; which is the better predictor of malignancy? | Semantic Scholar
![BI-RADS Breast Ultrasound Categories BI-RADS Category Summary Description | Download Scientific Diagram BI-RADS Breast Ultrasound Categories BI-RADS Category Summary Description | Download Scientific Diagram](https://www.researchgate.net/publication/340611934/figure/tbl1/AS:880047703486464@1586831131299/BI-RADS-Breast-Ultrasound-Categories-BI-RADS-Category-Summary-Description.png)
BI-RADS Breast Ultrasound Categories BI-RADS Category Summary Description | Download Scientific Diagram
![Breast Ultrasound Normal Vs Abnormal Image Appearances Comparison | BI-RADS Classification USG - YouTube Breast Ultrasound Normal Vs Abnormal Image Appearances Comparison | BI-RADS Classification USG - YouTube](https://i.ytimg.com/vi/x_oYxvyv11s/maxresdefault.jpg)