AIMC Topic: Ultrasonography, Mammary

Clear Filters Showing 191 to 200 of 227 articles

Deep learning based classification of breast tumors with shear-wave elastography.

Ultrasonics Aug 6, 2016
This study aims to build a deep learning (DL) architecture for automated extraction of learned-from-data image features from the shear-wave elastography (SWE), and to evaluate the DL architecture in differentiation between benign and malignant breast...
Neural Networks, Computer Retrospective Studies Humans Image Interpretation, Computer-Assisted Elasticity Imaging Techniques Female Adult Sensitivity and Specificity Biopsy Breast Neoplasms Ultrasonography, Mammary Diagnosis, Differential
View on PubMed DOI

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

Ultrasound in medicine & biology Jan 21, 2016
This work identifies effective computable features from the Breast Imaging Reporting and Data System (BI-RADS), to develop a computer-aided diagnosis (CAD) system for breast ultrasound. Computerized features corresponding to ultrasound BI-RADs catego...
Image Interpretation, Computer-Assisted Observer Variation Practice Guidelines as Topic Pattern Recognition, Automated United States Support Vector Machine Ultrasonography, Mammary Models, Biological Reproducibility of Results Sensitivity and Specificity Humans Breast Neoplasms Machine Learning Female
View on PubMed DOI

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

Ultrasound in medicine & biology Sep 6, 2015
The goal of this study was to devise a machine learning methodology as a viable low-cost alternative to a second reader to help augment physicians' interpretations of breast ultrasound images in differentiating benign and malignant masses. Two indepe...
Female Observer Variation Sensitivity and Specificity Image Processing, Computer-Assisted Breast Neoplasms Humans Area Under Curve Middle Aged Machine Learning Ultrasonography, Mammary
View on PubMed DOI

Robust phase-based texture descriptor for classification of breast ultrasound images.

Biomedical engineering online Mar 24, 2015
BACKGROUND: Classification of breast ultrasound (BUS) images is an important step in the computer-aided diagnosis (CAD) system for breast cancer. In this paper, a novel phase-based texture descriptor is proposed for efficient and robust classifiers t...
Physical Phenomena Diagnosis, Differential Area Under Curve Carcinoma Diagnosis, Computer-Assisted Humans Ultrasonography, Mammary Fibroadenoma Scattering, Radiation ROC Curve Papilloma, Intraductal Female Support Vector Machine Breast Neoplasms
View on PubMed DOI

Self-Supervised Optimization of RF Data Coherence for Improving Breast Reflection UCT Reconstruction.

IEEE transactions on ultrasonics, ferroelectrics, and frequency control Aug 1, 2025
The reflection ultrasound computed tomography (UCT) is gaining prominence as an essential instrument for breast cancer screening. However, reflection UCT quality is often compromised by the variability in sound speed across breast tissue. Traditional...
Humans Algorithms Tomography, X-Ray Computed Female Breast Signal-To-Noise Ratio Phantoms, Imaging Radio Waves Breast Neoplasms Image Processing, Computer-Assisted Ultrasonography, Mammary
View on PubMed DOI

ThreeF-Net: Fine-grained feature fusion network for breast ultrasound image segmentation.

Computers in biology and medicine Aug 1, 2025
Convolutional Neural Networks (CNNs) have achieved remarkable success in breast ultrasound image segmentation, but they still face several challenges when dealing with breast lesions. Due to the limitations of CNNs in modeling long-range dependencies...
Breast Female Image Interpretation, Computer-Assisted Breast Neoplasms Image Processing, Computer-Assisted Humans Ultrasonography, Mammary Neural Networks, Computer
View on PubMed DOI

Multimodal deep learning for enhanced breast cancer diagnosis on sonography.

Computers in biology and medicine Aug 1, 2025
This study introduces a novel multimodal deep learning model tailored for the differentiation of benign and malignant breast masses using dual-view breast ultrasound images (radial and anti-radial views) in conjunction with corresponding radiology re...
Deep Learning Ultrasonography, Mammary Image Interpretation, Computer-Assisted Humans Breast Neoplasms Middle Aged Female Adult
View on PubMed DOI

Machine learning prediction of pathological complete response to neoadjuvant chemotherapy with peritumoral breast tumor ultrasound radiomics: compare with intratumoral radiomics and clinicopathologic predictors.

Breast cancer research and treatment Jul 1, 2025
PURPOSE: Noninvasive, accurate and novel approaches to predict patients who will achieve pathological complete response (pCR) after neoadjuvant chemotherapy (NAC) could assist treatment strategies. The aim of this study was to explore the application...
Chemotherapy, Adjuvant Treatment Outcome Neoadjuvant Therapy Ultrasonography, Mammary Aged Adult Breast Neoplasms Machine Learning ROC Curve Prognosis Radiomics Antineoplastic Combined Chemotherapy Protocols Female Middle Aged Humans
View on PubMed DOI

Comparative analysis of deep learning methods for breast ultrasound lesion detection and classification.

Physica medica : PM : an international journal devoted to the applications of physics to medicine and biology : official journal of the Italian Association of Biomedical Physics (AIFB) Jun 1, 2025
PURPOSE: Breast ultrasound (BUS) computer-aided diagnosis (CAD) systems aims to perform two major steps: detecting lesions and classifying them as benign or malignant. However, the impact of combining both steps has not been previously addressed. Mor...
Image Processing, Computer-Assisted Ultrasonography, Mammary Humans Diagnosis, Computer-Assisted Deep Learning Female Breast Neoplasms
View on PubMed DOI

Automated whole-breast ultrasound tumor diagnosis using attention-inception network.

Physica medica : PM : an international journal devoted to the applications of physics to medicine and biology : official journal of the Italian Association of Biomedical Physics (AIFB) Jun 1, 2025
PURPOSE: Automated Whole-Breast Ultrasound (ABUS) has been widely used as an important tool in breast cancer diagnosis due to the ability of this technique to provide complete three-dimensional (3D) images of breasts. To eliminate the risk of misdiag...
Humans Neural Networks, Computer Female Diagnosis, Computer-Assisted Imaging, Three-Dimensional Image Processing, Computer-Assisted Ultrasonography, Mammary Adult Breast Neoplasms Middle Aged Automation
View on PubMed DOI
Popular Topics
Recent Journals