AIMC Topic: Ultrasonography, Mammary

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A computer-aided diagnosis system using artificial intelligence for the diagnosis and characterization of breast masses on ultrasound: Added value for the inexperienced breast radiologist.

Medicine Jan 1, 2019
To evaluate the value of the computer-aided diagnosis (CAD) program applied to diagnostic breast ultrasonography (US) based on operator experience.US images of 100 breast masses from 91 women over 2 months (from May to June 2015) were collected and r...
Middle Aged Diagnosis, Computer-Assisted Clinical Competence Humans Adult Sensitivity and Specificity Artificial Intelligence Breast Neoplasms Aged Radiologists Young Adult Ultrasonography, Mammary Retrospective Studies Breast Female Observer Variation Adolescent ROC Curve Follow-Up Studies
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THE ROLE OF E2/P RATIO IN THE ETIOLOGY OF FIBROCYSTIC BREAST DISEASE, MASTALGIA AND MASTODYNIA.

Acta clinica Croatica Dec 1, 2018
- The aim of the study was to assess the role of the estradiol and progesterone relationship during the late luteal phase and the occurrence of fibrocystic breast disease (FBD). The concentration of estradiol/progesterone was measured in the group of...
Pain Measurement Estradiol Fibrocystic Breast Disease Humans Ultrasonography, Mammary Progesterone Mastodynia Luteal Phase Correlation of Data Prolactin Female Adult
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[Computer Aided Diagnosis system of breast ultrasound based on support vector machine: a clinical analysis].

Zhonghua yi xue za zhi Dec 26, 2017
To investigate the value of based on support vector machine (SVM) breast ultrasonography technology of Computer-Assisted diagnosis (CAD) for differential diagnosis of benign and malignant breast masses. Total of 143 patients who had 151 breast mass...
Humans Female Ultrasonography, Mammary ROC Curve Support Vector Machine Sensitivity and Specificity Diagnosis, Differential Breast Neoplasms Diagnosis, Computer-Assisted
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Quantitative ultrasound assessment of breast tumor response to chemotherapy using a multi-parameter approach.

Oncotarget Jul 19, 2016
PURPOSE: This study demonstrated the ability of quantitative ultrasound (QUS) parameters in providing an early prediction of tumor response to neoadjuvant chemotherapy (NAC) in patients with locally advanced breast cancer (LABC).
Adult Sensitivity and Specificity Breast Neoplasms Machine Learning Female Aged Ultrasonography, Mammary Chemotherapy, Adjuvant Middle Aged Antineoplastic Agents Neoadjuvant Therapy Humans
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Validation of a novel robot-assisted 3DUS system for real-time planning and guidance of breast interstitial HDR brachytherapy.

Medical physics Dec 1, 2015
PURPOSE: In current clinical practice, there is no integrated 3D ultrasound (3DUS) guidance system clinically available for breast brachytherapy. In this study, the authors present a novel robot-assisted 3DUS system for real-time planning and guidanc...
Feasibility Studies Radiotherapy Planning, Computer-Assisted Brachytherapy Sepharose Skin Humans Radiotherapy Dosage Ultrasonography, Mammary Algorithms Phantoms, Imaging Muscle, Skeletal Breast Imaging, Three-Dimensional Tomography, X-Ray Computed Mammography Magnetic Resonance Imaging Breast Neoplasms Robotics
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An Artificial Immune System-Based Support Vector Machine Approach for Classifying Ultrasound Breast Tumor Images.

Journal of digital imaging Oct 1, 2015
A rapid and highly accurate diagnostic tool for distinguishing benign tumors from malignant ones is required owing to the high incidence of breast cancer. Although various computer-aided diagnosis (CAD) systems have been developed to interpret ultras...
Reproducibility of Results Young Adult Adult Middle Aged Adolescent Sensitivity and Specificity Breast Neoplasms Humans Algorithms Female Immune System Predictive Value of Tests ROC Curve Ultrasonography, Mammary Support Vector Machine Image Interpretation, Computer-Assisted Diagnosis, Differential
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Quantitative analysis of breast echotexture patterns in automated breast ultrasound images.

Medical physics Aug 1, 2015
PURPOSE: Breast tissue composition is considered to be associated with breast cancer risk. This study aimed to develop a computer-aided classification (CAC) system to automatically classify echotexture patterns as heterogeneous or homogeneous using a...
Area Under Curve Female Ultrasonography, Mammary Aged Image Interpretation, Computer-Assisted Middle Aged Young Adult Adult Humans ROC Curve Support Vector Machine Sensitivity and Specificity Databases, Factual Cluster Analysis Breast Neoplasms Retrospective Studies
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