AIMC Topic: Breast Neoplasms

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Computer-aided diagnosis of contrast-enhanced spectral mammography: A feasibility study.

European journal of radiology Dec 5, 2017
OBJECTIVE: To evaluate whether the use of a computer-aided diagnosis-contrast-enhanced spectral mammography (CAD-CESM) tool can further increase the diagnostic performance of CESM compared with that of experienced radiologists.
Feasibility Studies Image Enhancement Algorithms Retrospective Studies Image Processing, Computer-Assisted Female Support Vector Machine Humans Sensitivity and Specificity Reproducibility of Results Contrast Media Breast Neoplasms Mammography Middle Aged Breast Diagnosis, Computer-Assisted
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Deep Learning Accurately Predicts Estrogen Receptor Status in Breast Cancer Metabolomics Data.

Journal of proteome research Nov 27, 2017
Metabolomics holds the promise as a new technology to diagnose highly heterogeneous diseases. Conventionally, metabolomics data analysis for diagnosis is done using various statistical and machine learning based classification methods. However, it re...
Receptors, Estrogen Female Breast Neoplasms Humans Metabolomics Machine Learning Area Under Curve
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Genomic risk prediction of aromatase inhibitor-related arthralgia in patients with breast cancer using a novel machine-learning algorithm.

Cancer medicine Nov 23, 2017
Many breast cancer (BC) patients treated with aromatase inhibitors (AIs) develop aromatase inhibitor-related arthralgia (AIA). Candidate gene studies to identify AIA risk are limited in scope. We evaluated the potential of a novel analytic algorithm ...
Humans Polymorphism, Single Nucleotide Middle Aged Neoplasm Staging Case-Control Studies Aromatase Inhibitors Antineoplastic Agents, Hormonal Genomics Arthralgia Machine Learning Genetic Predisposition to Disease Germ-Line Mutation Prognosis Female Breast Neoplasms
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Desert actinobacteria as a source of bioactive compounds production with a special emphases on Pyridine-2,5-diacetamide a new pyridine alkaloid produced by Streptomyces sp. DA3-7.

Microbiological research Nov 21, 2017
In the present study, 134 morphologically distinct actinobacteria isolates were obtained from soil samples from 10 different localities in the Saudi Arabian desert. The preliminary screening revealed that 16 of these isolates possessed antimicrobial ...
Cell Line, Tumor Breast Neoplasms Enterococcus faecalis Soil Microbiology Adenocarcinoma Antineoplastic Agents Humans Alkaloids Escherichia coli Salmonella typhimurium Saudi Arabia Anti-Infective Agents Cryptococcus neoformans Streptomyces Pyridines Microbial Sensitivity Tests Female MCF-7 Cells Desert Climate
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Multi-task transfer learning deep convolutional neural network: application to computer-aided diagnosis of breast cancer on mammograms.

Physics in medicine and biology Nov 10, 2017
Transfer learning in deep convolutional neural networks (DCNNs) is an important step in its application to medical imaging tasks. We propose a multi-task transfer learning DCNN with the aim of translating the 'knowledge' learned from non-medical imag...
Humans Neural Networks, Computer Machine Learning Adult Breast Neoplasms Middle Aged Diagnosis, Computer-Assisted Mammography Female Aged Aged, 80 and over Young Adult
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Digital image analysis in breast pathology-from image processing techniques to artificial intelligence.

Translational research : the journal of laboratory and clinical medicine Nov 7, 2017
Breast cancer is the most common malignant disease in women worldwide. In recent decades, earlier diagnosis and better adjuvant therapy have substantially improved patient outcome. Diagnosis by histopathology has proven to be instrumental to guide br...
Humans Biomarkers, Tumor Diagnosis, Computer-Assisted Image Processing, Computer-Assisted Breast Artificial Intelligence Machine Learning Female Breast Neoplasms
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Importance of Better Human-Computer Interaction in the Era of Deep Learning: Mammography Computer-Aided Diagnosis as a Use Case.

Journal of the American College of Radiology : JACR Oct 31, 2017
Diagnosis, Computer-Assisted Mammography Radiographic Image Interpretation, Computer-Assisted Algorithms Female Sensitivity and Specificity Breast Neoplasms Humans Machine Learning
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Identification of differentially expressed genes regulated by molecular signature in breast cancer-associated fibroblasts by bioinformatics analysis.

Archives of gynecology and obstetrics Oct 23, 2017
OBJECTIVE: Breast cancer is a severe risk to public health and has adequately convoluted pathogenesis. Therefore, the description of key molecular markers and pathways is of much importance for clarifying the molecular mechanism of breast cancer-asso...
Humans Female Breast Neoplasms Gene Expression Profiling Computational Biology Cancer-Associated Fibroblasts Gene Ontology
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High-Risk Breast Lesions: A Machine Learning Model to Predict Pathologic Upgrade and Reduce Unnecessary Surgical Excision.

Radiology Oct 17, 2017
Purpose To develop a machine learning model that allows high-risk breast lesions (HRLs) diagnosed with image-guided needle biopsy that require surgical excision to be distinguished from HRLs that are at low risk for upgrade to cancer at surgery and t...
Precancerous Conditions Image-Guided Biopsy Unnecessary Procedures Risk Assessment Follow-Up Studies Carcinoma, Intraductal, Noninfiltrating Watchful Waiting Humans Clinical Decision-Making Machine Learning Female Prognosis Aged Aged, 80 and over Young Adult Adult Breast Neoplasms Middle Aged
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Support vector machine for breast cancer classification using diffusion-weighted MRI histogram features: Preliminary study.

Journal of magnetic resonance imaging : JMRI Oct 16, 2017
BACKGROUND: Diffusion-weighted MRI (DWI) is currently one of the fastest developing MRI-based techniques in oncology. Histogram properties from model fitting of DWI are useful features for differentiation of lesions, and classification can potentiall...
Echo-Planar Imaging Image Interpretation, Computer-Assisted Receptor, ErbB-2 Estrogen Receptor alpha Diffusion Magnetic Resonance Imaging Aged Algorithms Adult Prospective Studies Breast Neoplasms Breast Female Middle Aged Reproducibility of Results Diffusion Image Processing, Computer-Assisted Humans Motion Support Vector Machine Machine Learning
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