AIMC Topic: Breast Neoplasms

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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...
Adult Sensitivity and Specificity Breast Neoplasms Middle Aged Algorithms Female Humans Reproducibility of Results Young Adult Predictive Value of Tests Ultrasonography, Mammary Image Interpretation, Computer-Assisted Adolescent Immune System ROC Curve Support Vector Machine 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...
Humans Databases, Factual Middle Aged ROC Curve Support Vector Machine Cluster Analysis Area Under Curve Ultrasonography, Mammary Image Interpretation, Computer-Assisted Young Adult Adult Sensitivity and Specificity Breast Neoplasms Retrospective Studies Female Aged
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Automatic Detection of Masses in Mammograms Using Quality Threshold Clustering, Correlogram Function, and SVM.

Journal of digital imaging Jun 1, 2015
Breast cancer is the second most common type of cancer in the world. Several computer-aided detection and diagnosis systems have been used to assist health experts and to indicate suspect areas that would be difficult to perceive by the human eye; th...
Algorithms Female Sensitivity and Specificity Breast Neoplasms Humans Mammography Radiographic Image Interpretation, Computer-Assisted ROC Curve Image Processing, Computer-Assisted Support Vector Machine Cluster Analysis
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Comparative analysis of breast cancer detection in mammograms and thermograms.

Biomedizinische Technik. Biomedical engineering Feb 1, 2015
In this paper, we present a system based on feature extraction techniques for detecting abnormal patterns in digital mammograms and thermograms. A comparative study of texture-analysis methods is performed for three image groups: mammograms from the ...
Radiographic Image Interpretation, Computer-Assisted Observer Variation Thermography Humans Machine Learning Algorithms Female Reproducibility of Results Sensitivity and Specificity Breast Neoplasms Mammography
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Management of bone loss in postmenopausal breast cancer patients treated with aromatase inhibitors.

Acta reumatologica portuguesa Jan 1, 2015
Breast cancer is the most commonly diagnosed cancer among women, but despite survival rates improvement, it is still the second major cause of cancer related death. In postmenopausal women with estrogen receptor (ER) dependent breast cancer, hormone ...
Receptors, Estrogen Neoplasm Recurrence, Local Osteoporosis, Postmenopausal Humans Fractures, Spontaneous Female Bone Density Conservation Agents Antineoplastic Agents, Hormonal Postmenopause Breast Neoplasms Tamoxifen Aromatase Inhibitors
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Robust automatic breast cancer staging using a combination of functional genomics and image-omics.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference Jan 1, 2015
Breast cancer is one of the leading cancers worldwide. Precision medicine is a new trend that systematically examines molecular and functional genomic information within each patient's cancer to identify the patterns that may affect treatment decisio...
Support Vector Machine Principal Component Analysis Humans Neoplasm Staging Algorithms Breast Neoplasms Linear Models Female Diagnosis, Computer-Assisted Genomics
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Breast tumor classification in ultrasound images using neural networks with improved generalization methods.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference Jan 1, 2015
Mammography, scintimammography and ultrasound images have been used to increase the specificity of breast cancer image diagnosis. Concerning breast cancer image diagnosis with ultrasound, some results found in the literature show better performance o...
Mammography Area Under Curve Female Breast Neoplasms Ultrasonography ROC Curve Humans Neural Networks, Computer Algorithms Retrospective Studies
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Restricted Boltzmann machines based oversampling and semi-supervised learning for false positive reduction in breast CAD.

Bio-medical materials and engineering Jan 1, 2015
The false-positive reduction (FPR) is a crucial step in the computer aided detection system for the breast. The issues of imbalanced data distribution and the limitation of labeled samples complicate the classification procedure. To overcome these ch...
Reproducibility of Results Sensitivity and Specificity Breast Neoplasms Models, Statistical Sample Size Data Interpretation, Statistical Neural Networks, Computer Radiographic Image Interpretation, Computer-Assisted Humans Algorithms Supervised Machine Learning Pattern Recognition, Automated Computer Simulation False Positive Reactions Female Stochastic Processes Radiographic Image Enhancement
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Image manifold revealing for breast lesion segmentation in DCE-MRI.

Bio-medical materials and engineering Jan 1, 2015
Dynamic contrast-enhanced magnetic resonance imaging (DCE-MRI) is widely used for breast lesion differentiation. Manual segmentation in DCE-MRI is difficult and open to viewer interpretation. In this paper, an automatic segmentation method based on i...
Reproducibility of Results Humans Image Interpretation, Computer-Assisted Machine Learning Pattern Recognition, Automated Sensitivity and Specificity Algorithms Image Enhancement Breast Neoplasms Female Magnetic Resonance Imaging
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OntoMama: An Ontology Applied to Breast Cancer.

Studies in health technology and informatics Jan 1, 2015
This article describes the process of building an ontology to assist medical students and professionals specialized in Oncology. The ontology allows the user to obtain knowledge more quickly and thus assist professionals in their decision-making.
Internet Data Mining Medical Oncology Biological Ontologies Female Humans Breast Neoplasms Natural Language Processing
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