AIMC Topic: Breast Neoplasms

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Ultrasonic Diagnosis of Breast Nodules Using Modified Faster R-CNN.

Ultrasonic imaging Nov 1, 2019
Breast cancer has become the biggest threat to female health. Ultrasonic diagnosis of breast cancer based on artificial intelligence is basically a classification of benign and malignant tumors, which does not meet clinical demand. Besides, the curre...
Breast Neoplasms Image Processing, Computer-Assisted Ultrasonography, Mammary Breast Datasets as Topic Humans Neural Networks, Computer Female
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Effects of Jiazhu decoction in combination with cyclophosphamide on breast cancer in mice.

Journal of traditional Chinese medicine = Chung i tsa chih ying wen pan Oct 1, 2019
OBJECTIVE: To investigate the therapeutic effects of Jiazhu decoction (JZD) in combination with cyclophosphamide (CTX) on the growth of breast cancer in mice and to explore the possible molecular mechanisms of action.
Drugs, Chinese Herbal Mice Breast Neoplasms Drug Interactions RNA, Messenger Animals Xenograft Model Antitumor Assays Cyclophosphamide Antineoplastic Agents Gene Expression Regulation, Neoplastic Cyclin D1 Genes, myc Cell Proliferation Cell Line, Tumor beta Catenin
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Role of Artificial Intelligence in Imaging: From A Radiologist's Point of View with A Focus on Breast Imaging.

Anatolian journal of cardiology Oct 1, 2019
Humans Artificial Intelligence Female Radiologists Breast Neoplasms Attitude of Health Personnel Image Processing, Computer-Assisted Mammography
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Natural Language Processing Approaches to Detect the Timeline of Metastatic Recurrence of Breast Cancer.

JCO clinical cancer informatics Oct 1, 2019
PURPOSE: Electronic medical records (EMRs) and population-based cancer registries contain information on cancer outcomes and treatment, yet rarely capture information on the timing of metastatic cancer recurrence, which is essential to understand can...
California Natural Language Processing Registries Neoplasm Recurrence, Local Medical Informatics Female Aged Adult Breast Neoplasms Middle Aged Time Factors Decision Support Systems, Clinical Follow-Up Studies Humans Algorithms Databases, Factual
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Can a Machine Learn from Radiologists' Visual Search Behaviour and Their Interpretation of Mammograms-a Deep-Learning Study.

Journal of digital imaging Oct 1, 2019
Visual search behaviour and the interpretation of mammograms have been studied for errors in breast cancer detection. We aim to ascertain whether machine-learning models can learn about radiologists' attentional level and the interpretation of mammog...
Female Breast Neoplasms Deep Learning Mammography Radiologists Radiographic Image Interpretation, Computer-Assisted Breast Pattern Recognition, Visual Humans Neural Networks, Computer Machine Learning
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Machine-learned analysis of the association of next-generation sequencing-based genotypes with persistent pain after breast cancer surgery.

Pain Oct 1, 2019
Cancer and its surgical treatment are among the most important triggering events for persistent pain, but additional factors need to be present for the clinical manifestation, such as variants in pain-relevant genes. In a cohort of 140 women undergoi...
Adult Breast Neoplasms Middle Aged Case-Control Studies Humans Machine Learning Female Aged Mastectomy Genetic Variation High-Throughput Nucleotide Sequencing Cancer Pain Cohort Studies Genotype Pain Measurement Pain, Postoperative Reelin Protein
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Prior to Initiation of Chemotherapy, Can We Predict Breast Tumor Response? Deep Learning Convolutional Neural Networks Approach Using a Breast MRI Tumor Dataset.

Journal of digital imaging Oct 1, 2019
We hypothesize that convolutional neural networks (CNN) can be used to predict neoadjuvant chemotherapy (NAC) response using a breast MRI tumor dataset prior to initiation of chemotherapy. An institutional review board-approved retrospective review o...
Deep Learning Retrospective Studies Treatment Outcome Female Breast Magnetic Resonance Imaging Humans Sensitivity and Specificity Image Interpretation, Computer-Assisted Predictive Value of Tests Neural Networks, Computer Breast Neoplasms Datasets as Topic Algorithms
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Comprehensive Word-Level Classification of Screening Mammography Reports Using a Neural Network Sequence Labeling Approach.

Journal of digital imaging Oct 1, 2019
Radiology reports contain a large amount of potentially valuable unstructured data. Recently, neural networks have been employed to perform classification of radiology reports over a few classes at the document level. The success of neural networks i...
Reproducibility of Results Breast Neoplasms Mammography Research Report Neural Networks, Computer Databases, Factual Humans Electronic Health Records Female Image Interpretation, Computer-Assisted
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Fuzzy Gaussian Lasso clustering with application to cancer data.

Mathematical biosciences and engineering : MBE Sep 30, 2019
Recently, Yang et al. (2019) proposed a fuzzy model-based Gaussian (F-MB-Gauss) clustering that combines a model-based Gaussian with fuzzy membership functions for clustering. In this paper, we further consider the F-MB-Gauss clustering with the leas...
Neoplasms Blood Glucose Image Processing, Computer-Assisted Glucose Tolerance Test Humans Cluster Analysis Fuzzy Logic Pattern Recognition, Automated Algorithms Models, Statistical Normal Distribution Female Signal Processing, Computer-Assisted Leukemia Breast Neoplasms Colonic Neoplasms Male
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Clinical Data Extraction and Normalization of Cyrillic Electronic Health Records Via Deep-Learning Natural Language Processing.

JCO clinical cancer informatics Sep 1, 2019
PURPOSE: A substantial portion of medical data is unstructured. Extracting data from unstructured text presents a barrier to advancing clinical research and improving patient care. In addition, ongoing studies have been focused predominately on the E...
Deep Learning Natural Language Processing Area Under Curve Medical Informatics Bulgaria Female Reproducibility of Results Humans Breast Neoplasms Neural Networks, Computer Biomarkers, Tumor Algorithms Electronic Health Records
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