Search
Search Results
-
Characterization of breast changes in the early gestational period on automated breast ultrasound
PurposeThis study was conducted to determine the characteristics of milk duct development in early pregnancy on ultrasound images.
Methods ...
-
Atlas of Breast Implant Ultrasound
This atlas is the first book on the use of high-resolution ultrasound to assess breast implants and identify the various potential breast...
-
Automated breast ultrasound in breast cancer screening of mammographically dense breasts: added values
BackgroundFull-field digital mammography (FFDM) is the primary screening method for breast cancer, yet the number of cancers that can be missed with...
-
Ceusia-Breast: computer-aided diagnosis with contrast enhanced ultrasound image analysis for breast lesions
BackgroundIn recent years, contrast-enhanced ultrasonography (CEUS) has been used for various applications in breast diagnosis. The superiority of...
-
Non-mass lesions on breast ultrasound: why does not the ACR BI-RADS breast ultrasound lexicon add the terminology?
The definition of a non-mass lesion on breast ultrasound (US) is designed for everyday practice to provide unambiguous clinical management and to...
-
A domain knowledge-based interpretable deep learning system for improving clinical breast ultrasound diagnosis
BackgroundThough deep learning has consistently demonstrated advantages in the automatic interpretation of breast ultrasound images, its black-box...
-
Examining the effectiveness of a deep learning-based computer-aided breast cancer detection system for breast ultrasound
PurposeThis study aimed to evaluate the clinical usefulness of a deep learning-based computer-aided detection (CADe) system for breast ultrasound.
...
-
The diagnostic value of multimodal imaging based on MR combined with ultrasound in benign and malignant breast diseases
We aimed to construct and validate a multimodality MRI combined with ultrasound based on radiomics for the evaluation of benign and malignant breast...
-
Multimodal ultrasound features of breast cancers: correlation with molecular subtypes
ObjectivesTo investigate whether multimodal intratumour and peritumour ultrasound features correlate with specific breast cancer molecular subtypes.
...
-
SC-Unext: A Lightweight Image Segmentation Model with Cellular Mechanism for Breast Ultrasound Tumor Diagnosis
Automatic breast ultrasound image segmentation plays an important role in medical image processing. However, current methods for breast ultrasound...
-
Longitudinal ultrasound-based AI model predicts axillary lymph node response to neoadjuvant chemotherapy in breast cancer: a multicenter study
ObjectivesDevelo** a deep learning radiomics model from longitudinal breast ultrasound and sonographer’s axillary ultrasound diagnosis for...
-
Diagnostic performance of 3D automated breast ultrasound (3D-ABUS) in a clinical screening setting—a retrospective study
ObjectivesTo assess the diagnostic performance of 3D automated breast ultrasound (3D-ABUS) in breast cancer screening in a clinical setting.
...
-
Automated breast ultrasound (ABUS) for intraoperative margin control on surgical specimens in breast conserving surgery
PurposeAs breast-conserving surgery (BCS) has become the standard for treatment of early breast cancer, the need for new technologies to improve...
-
Performance of dedicated breast PET in breast cancer screening: comparison with digital mammography plus digital breast tomosynthesis and ultrasound
ObjectiveTo compare the diagnostic performance of dedicated breast positron emission tomography (dbPET) in breast cancer screening with digital...
-
Spatial and geometric learning for classification of breast tumors from multi-center ultrasound images: a hybrid learning approach
BackgroundBreast cancer is the most common cancer among women, and ultrasound is a usual tool for early screening. Nowadays, deep learning technique...
-
Revolutionizing breast cancer Ki-67 diagnosis: ultrasound radiomics and fully connected neural networks (FCNN) combination method
PurposeThis study aims to assess the diagnostic value of ultrasound habitat sub-region radiomics feature parameters using a fully connected neural...
-
Correlation of androgen receptor with ultrasound, clinicopathological features and clinical outcomes in breast cancer
BackgroundThis study aimed to explore whether there is an association between androgen receptor (AR) expression and ultrasound, clinicopathological...
-
Spatiotemporal analysis of contrast-enhanced ultrasound for differentiating between malignant and benign breast lesions
ObjectivesThe aim of this study was to apply spatiotemporal analysis of contrast-enhanced ultrasound (CEUS) loops to quantify the enhancement...
-
Diagnostic accuracy of supplemental three-dimensional breast ultrasound in the work-up of BI-RADS 0 screening recalls
ObjectiveTo evaluate the diagnostic accuracy of supplemental 3D automated breast ultrasound (ABUS) in the diagnostic work-up of BI-RADS 0 recalls. We...
-
Deep Learning for Describing Breast Ultrasound Images with BI-RADS Terms
Breast cancer is the most common cancer in women. Ultrasound is one of the most used techniques for diagnosis, but an expert in the field is...
