![Breast Imaging Reporting and Data Systems category 3 (probably benign) breast lesions detected on diagnostic breast ultrasound: The prevalence, outcome and malignancy detection rate in Zaria, Nigeria Breast Imaging Reporting and Data Systems category 3 (probably benign) breast lesions detected on diagnostic breast ultrasound: The prevalence, outcome and malignancy detection rate in Zaria, Nigeria](http://www.scielo.org.za/img/revistas/sajr/v22n2/06t2.jpg)
Breast Imaging Reporting and Data Systems category 3 (probably benign) breast lesions detected on diagnostic breast ultrasound: The prevalence, outcome and malignancy detection rate in Zaria, Nigeria
![J. Imaging | Free Full-Text | Novel Texture Feature Descriptors Based on Multi-Fractal Analysis and LBP for Classifying Breast Density in Mammograms J. Imaging | Free Full-Text | Novel Texture Feature Descriptors Based on Multi-Fractal Analysis and LBP for Classifying Breast Density in Mammograms](https://www.mdpi.com/jimaging/jimaging-07-00205/article_deploy/html/images/jimaging-07-00205-g001.png)
J. Imaging | Free Full-Text | Novel Texture Feature Descriptors Based on Multi-Fractal Analysis and LBP for Classifying Breast Density in Mammograms
![First ultrasound diagnosis of BI-RADS 3 lesions in young patients: Can 6-months follow-up be sufficient to assess stability? | Semantic Scholar First ultrasound diagnosis of BI-RADS 3 lesions in young patients: Can 6-months follow-up be sufficient to assess stability? | Semantic Scholar](https://d3i71xaburhd42.cloudfront.net/947c9c4351e30dff0bc61e001fdc41055bed7961/3-Figure1-1.png)
First ultrasound diagnosis of BI-RADS 3 lesions in young patients: Can 6-months follow-up be sufficient to assess stability? | Semantic Scholar
![Frontiers | Nomograms for prediction of breast cancer in breast imaging reporting and data system (BI-RADS) ultrasound category 4 or 5 lesions: A single-center retrospective study based on radiomics features Frontiers | Nomograms for prediction of breast cancer in breast imaging reporting and data system (BI-RADS) ultrasound category 4 or 5 lesions: A single-center retrospective study based on radiomics features](https://www.frontiersin.org/files/Articles/894476/fonc-12-894476-HTML/image_m/fonc-12-894476-g001.jpg)
Frontiers | Nomograms for prediction of breast cancer in breast imaging reporting and data system (BI-RADS) ultrasound category 4 or 5 lesions: A single-center retrospective study based on radiomics features
![Breast imaging-reporting and data system (BI-RADS) assessment category 2 | Radiology Reference Article | Radiopaedia.org Breast imaging-reporting and data system (BI-RADS) assessment category 2 | Radiology Reference Article | Radiopaedia.org](https://prod-images-static.radiopaedia.org/images/56489383/11_gallery.jpeg)