AIMC Topic: Breast

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Fully Automated Convolutional Neural Network Method for Quantification of Breast MRI Fibroglandular Tissue and Background Parenchymal Enhancement.

Journal of digital imaging Feb 1, 2019
The aim of this study is to develop a fully automated convolutional neural network (CNN) method for quantification of breast MRI fibroglandular tissue (FGT) and background parenchymal enhancement (BPE). An institutional review board-approved retrospe...
Humans Imaging, Three-Dimensional Magnetic Resonance Imaging Breast Image Interpretation, Computer-Assisted Neural Networks, Computer Retrospective Studies Female Breast Neoplasms
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LNTP-MDBN: Big Data Integrated Learning Framework for Heterogeneous Image Set Classification.

Current medical imaging reviews Jan 1, 2019
BACKGROUND: With the explosive growth of global data, the term Big Data describes the enormous size of dataset through the detailed analysis. The big data analytics revealed the hidden patterns and secret correlations among the values. The major chal...
Data Mining Pattern Recognition, Automated Bone and Bones Database Management Systems Deep Learning Humans Big Data Algorithms Diagnostic Imaging Brain Breast
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New one-step model of breast tumor locating based on deep learning.

Journal of X-ray science and technology Jan 1, 2019
BACKGROUND: Breast cancer has the highest cancer prevalence rate among the women worldwide. Early detection of breast cancer is crucial for successful treatment and reducing cancer mortality rate. However, tumor detection of breast ultrasound (US) im...
Radiographic Image Interpretation, Computer-Assisted Ultrasonography, Mammary Breast Breast Neoplasms Deep Learning Image Processing, Computer-Assisted Mammography Humans Neural Networks, Computer Algorithms Female
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Breast mass detection and diagnosis using fused features with density.

Journal of X-ray science and technology Jan 1, 2019
BACKGROUND: The morbidity of breast cancer has been increased in these years and ranked the first of all female diseases. Computer-aided diagnosis techniques for mammograms can help radiologists find early breast lesions. In mammograms, the degree of...
Humans Breast Neoplasms Middle Aged ROC Curve Unsupervised Machine Learning Databases, Factual Female Aged Adult Mammography Radiographic Image Interpretation, Computer-Assisted Breast
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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...
Ultrasonography, Mammary Breast Observer Variation Adolescent ROC Curve Follow-Up Studies Radiologists Breast Neoplasms Humans Middle Aged Artificial Intelligence Diagnosis, Computer-Assisted Retrospective Studies Clinical Competence Aged Female Young Adult Adult Sensitivity and Specificity
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Grouped fuzzy SVM with EM-based partition of sample space for clustered microcalcification detection.

Technology and health care : official journal of the European Society for Engineering and Medicine Jul 20, 2017
BACKGROUND: Detection of clustered microcalcification (MC) from mammograms plays essential roles in computer-aided diagnosis for early stage breast cancer.
Breast Neoplasms Support Vector Machine Fuzzy Logic Calcinosis Models, Statistical Mammography Radiographic Image Interpretation, Computer-Assisted Breast Humans Algorithms Female
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Deep Learning in Mammography: Diagnostic Accuracy of a Multipurpose Image Analysis Software in the Detection of Breast Cancer.

Investigative radiology Jul 1, 2017
OBJECTIVES: The aim of this study was to evaluate the diagnostic accuracy of a multipurpose image analysis software based on deep learning with artificial neural networks for the detection of breast cancer in an independent, dual-center mammography d...
Breast Neoplasms Middle Aged Reproducibility of Results Image Processing, Computer-Assisted Prevalence Aged Humans ROC Curve Follow-Up Studies Aged, 80 and over Machine Learning Mammography Adult Retrospective Studies Breast Female
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Automatic Estimation of Volumetric Breast Density Using Artificial Neural Network-Based Calibration of Full-Field Digital Mammography: Feasibility on Japanese Women With and Without Breast Cancer.

Journal of digital imaging Apr 1, 2017
Breast cancer is the most common invasive cancer among women and its incidence is increasing. Risk assessment is valuable and recent methods are incorporating novel biomarkers such as mammographic density. Artificial neural networks (ANN) are adaptiv...
Breast Density Feasibility Studies Humans Japan Calibration Breast Neoplasms Mammography Organ Size Neural Networks, Computer Breast Retrospective Studies Female Reproducibility of Results
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Breast osteoblastoma and recurrence after resection: Demonstration by color Doppler ultrasound.

Journal of X-ray science and technology Jan 1, 2017
Osteoblastoma is a rare benign primary bone tumor, which occurs in any part of the skeleton. Extraskeletal osteoblastoma is rather rare. We presented an extremely rare case of extraskeletal osteoblastoma located in the breast. The tumor recurred 7 mo...
Ultrasonography, Doppler, Color Learning Curve Osteoblastoma Breast Humans Machine Learning Image Interpretation, Computer-Assisted Neural Networks, Computer Female Recurrence Breast Neoplasms ROC Curve
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Commentary on: Comparative Study between Robotic Total Thyroidectomy with Central Lymph Node Dissection via Bilateral Axillo-breast Approach and Conventional Open Procedure for Papillary Thyroid Microcarcinoma.

Chinese medical journal Sep 20, 2016
Carcinoma, Papillary Humans Lymphatic Metastasis Neck Dissection Thyroidectomy Lymph Node Excision Thyroid Neoplasms Robotics Breast
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