AIMC Topic: Breast Neoplasms

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Machine learning identifies interacting genetic variants contributing to breast cancer risk: A case study in Finnish cases and controls.

Scientific reports Sep 3, 2018
We propose an effective machine learning approach to identify group of interacting single nucleotide polymorphisms (SNPs), which contribute most to the breast cancer (BC) risk by assuming dependencies among BCAC iCOGS SNPs. We adopt a gradient tree b...
Gene Regulatory Networks Genetic Predisposition to Disease Polymorphism, Single Nucleotide Gene Expression Regulation, Neoplastic Breast Neoplasms Case-Control Studies Genome-Wide Association Study Ubiquitin-Protein Ligases Finland Humans Protein Interaction Mapping Estrogen Receptor alpha Prognosis Support Vector Machine Female Base Sequence Genome, Human Risk
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Breast Cancer Detection Using Infrared Thermal Imaging and a Deep Learning Model.

Sensors (Basel, Switzerland) Aug 25, 2018
Women's breasts are susceptible to developing cancer; this is supported by a recent study from 2016 showing that 2.8 million women worldwide had already been diagnosed with breast cancer that year. The medical care of a patient with breast cancer is ...
Humans Thermography Breast Neoplasms Image Processing, Computer-Assisted Breast Machine Learning Infrared Rays Female Sensitivity and Specificity
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Convolutional Neural Network Using a Breast MRI Tumor Dataset Can Predict Oncotype Dx Recurrence Score.

Journal of magnetic resonance imaging : JMRI Aug 21, 2018
BACKGROUND: Oncotype Dx is a validated genetic analysis that provides a recurrence score (RS) to quantitatively predict outcomes in patients who meet the criteria of estrogen receptor positive / human epidermal growth factor receptor-2 negative (ER+/...
Carcinoma, Ductal, Breast Estrogen Receptor alpha Area Under Curve Neoplasm Recurrence, Local Receptor, ErbB-2 Adult Breast Neoplasms Middle Aged ROC Curve Imaging, Three-Dimensional Image Processing, Computer-Assisted Treatment Outcome Magnetic Resonance Imaging Retrospective Studies Female Reproducibility of Results Aged Humans Neural Networks, Computer Algorithms
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Computational Optics Enables Breast Cancer Profiling in Point-of-Care Settings.

ACS nano Aug 20, 2018
The global burden of cancer, severe diagnostic bottlenecks in underserved regions, and underfunded health care systems are fueling the need for inexpensive, rapid, and treatment-informative diagnostics. On the basis of advances in computational optic...
Humans Algorithms Cell Line, Tumor Image Processing, Computer-Assisted Biopsy, Fine-Needle Female Breast Neoplasms Point-of-Care Systems Deep Learning
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Extraction of BI-RADS findings from breast ultrasound reports in Chinese using deep learning approaches.

International journal of medical informatics Aug 18, 2018
BACKGROUND: The wide adoption of electronic health record systems (EHRs) in hospitals in China has made large amounts of data available for clinical research including breast cancer. Unfortunately, much of detailed clinical information is embedded in...
Female Breast Neoplasms Deep Learning China Ultrasonography, Mammary Image Interpretation, Computer-Assisted Radiology Information Systems Humans Machine Learning Algorithms
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Hierarchical Convolutional Neural Networks for Segmentation of Breast Tumors in MRI With Application to Radiogenomics.

IEEE transactions on medical imaging Aug 16, 2018
Breast tumor segmentation based on dynamic contrast-enhanced magnetic resonance imaging (DCE-MRI) is a challenging problem and an active area of research. Particular challenges, similarly as in other segmentation problems, include the class-imbalance...
Humans Neural Networks, Computer Breast Neoplasms Female Genomics Magnetic Resonance Imaging Image Interpretation, Computer-Assisted
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Transfer Learning From Convolutional Neural Networks for Computer-Aided Diagnosis: A Comparison of Digital Breast Tomosynthesis and Full-Field Digital Mammography.

Academic radiology Aug 1, 2018
RATIONALE AND OBJECTIVES: With the growing adoption of digital breast tomosynthesis (DBT) in breast cancer screening, we compare the performance of deep learning computer-aided diagnosis on DBT images to that of conventional full-field digital mammog...
Humans Middle Aged ROC Curve Mammography Radiographic Image Interpretation, Computer-Assisted Female Breast Neural Networks, Computer Aged Adult Machine Learning Breast Neoplasms Retrospective Studies
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Convolutional Neural Network Based Breast Cancer Risk Stratification Using a Mammographic Dataset.

Academic radiology Jul 31, 2018
RATIONALE AND OBJECTIVES: We propose a novel convolutional neural network derived pixel-wise breast cancer risk model using mammographic dataset.
Neural Networks, Computer Retrospective Studies Female Breast Neoplasms Middle Aged Humans Risk Assessment Mammography Breast
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Machine-learned selection of psychological questionnaire items relevant to the development of persistent pain after breast cancer surgery.

British journal of anaesthesia Jul 31, 2018
BACKGROUND: Prevention of persistent pain after breast cancer surgery, via early identification of patients at high risk, is a clinical need. Psychological factors are among the most consistently proposed predictive parameters for the development of ...
Psychiatric Status Rating Scales Adult Depression Breast Neoplasms Middle Aged Chronic Pain Humans Surveys and Questionnaires Predictive Value of Tests Machine Learning Anger Pain Measurement Cohort Studies Anxiety Female Pain, Postoperative Mastectomy
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Diagnostic Accuracy of Different Machine Learning Algorithms for Breast Cancer Risk Calculation: a Meta-Analysis.

Asian Pacific journal of cancer prevention : APJCP Jul 27, 2018
Objective: The aim of this study was to determine the diagnostic accuracy of different machine learning algorithms for breast cancer risk calculation. Methods: A meta-analysis was conducted of published research articles on diagnostic test accuracy o...
Diagnosis, Computer-Assisted Female Risk Factors Breast Neoplasms Humans Machine Learning Algorithms Prognosis
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