AIMC Topic: Radiographic Image Interpretation, Computer-Assisted

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Pattern Classification for Gastrointestinal Stromal Tumors by Integration of Radiomics and Deep Convolutional Features.

IEEE journal of biomedical and health informatics May 29, 2018
Predicting malignant potential is one of the most critical components of a computer-aided diagnosis system for gastrointestinal stromal tumors (GISTs). These tumors have been studied only on the basis of subjective computed tomography findings. Among...
Radiographic Image Interpretation, Computer-Assisted Gastrointestinal Neoplasms Gastrointestinal Stromal Tumors Humans Neural Networks, Computer Databases, Factual Tomography, X-Ray Computed
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Novel Breast Imaging and Machine Learning: Predicting Breast Lesion Malignancy at Cone-Beam CT Using Machine Learning Techniques.

AJR. American journal of roentgenology May 24, 2018
OBJECTIVE: The purpose of this study is to evaluate the diagnostic performance of machine learning techniques for malignancy prediction at breast cone-beam CT (CBCT) and to compare them to human readers.
Machine Learning Prospective Studies Female Sensitivity and Specificity Humans Predictive Value of Tests Radiographic Image Interpretation, Computer-Assisted Iohexol Breast Neoplasms Middle Aged Cone-Beam Computed Tomography Contrast Media
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Minimization of annotation work: diagnosis of mammographic masses via active learning.

Physics in medicine and biology May 22, 2018
The prerequisite for establishing an effective prediction system for mammographic diagnosis is the annotation of each mammographic image. The manual annotation work is time-consuming and laborious, which becomes a great hindrance for researchers. In ...
Algorithms Female Breast Neoplasms Mammography Radiographic Image Interpretation, Computer-Assisted Humans Machine Learning
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A Novel Deep Learning Approach for Automated Diagnosis of Acute Ischemic Infarction on Computed Tomography.

JACC. Cardiovascular imaging May 16, 2018
Humans Prospective Studies Predictive Value of Tests Acute Disease Radiographic Image Interpretation, Computer-Assisted Brain Infarction Aged, 80 and over Male Middle Aged Deep Learning Tomography, X-Ray Computed Female Reproducibility of Results Aged
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Breast Mass Detection in Digital Mammogram Based on Gestalt Psychology.

Journal of healthcare engineering May 2, 2018
Inspired by gestalt psychology, we combine human cognitive characteristics with knowledge of radiologists in medical image analysis. In this paper, a novel framework is proposed to detect breast masses in digitized mammograms. It can be divided into ...
Gestalt Theory Breast Neoplasms Humans Mammography Machine Learning Radiographic Image Interpretation, Computer-Assisted Algorithms Breast Female
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A web-based system for neural network based classification in temporomandibular joint osteoarthritis.

Computerized medical imaging and graphics : the official journal of the Computerized Medical Imaging Society May 1, 2018
OBJECTIVE: The purpose of this study is to describe the methodological innovations of a web-based system for storage, integration and computation of biomedical data, using a training imaging dataset to remotely compute a deep neural network classifie...
Cone-Beam Computed Tomography Imaging, Three-Dimensional Temporomandibular Joint Disorders Radiographic Image Interpretation, Computer-Assisted Adult Male Case-Control Studies Surveys and Questionnaires Humans Internet Neural Networks, Computer Osteoarthritis Biomarkers Female
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Machine learning in cardiac CT: Basic concepts and contemporary data.

Journal of cardiovascular computed tomography Apr 30, 2018
Propelled by the synergy of the groundbreaking advancements in the ability to analyze high-dimensional datasets and the increasing availability of imaging and clinical data, machine learning (ML) is poised to transform the practice of cardiovascular ...
Coronary Artery Disease Coronary Vessels Vascular Calcification Computed Tomography Angiography Severity of Illness Index Predictive Value of Tests Coronary Angiography Radiographic Image Interpretation, Computer-Assisted Machine Learning Algorithms Prognosis Reproducibility of Results Humans
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Maximization of the usage of coronary CTA derived plaque information using a machine learning based algorithm to improve risk stratification; insights from the CONFIRM registry.

Journal of cardiovascular computed tomography Apr 30, 2018
INTRODUCTION: Machine learning (ML) is a field in computer science that demonstrated to effectively integrate clinical and imaging data for the creation of prognostic scores. The current study investigated whether a ML score, incorporating only the 1...
Humans Machine Learning Algorithms Prognosis Female Reproducibility of Results Risk Factors Aged Coronary Stenosis Coronary Angiography Radiographic Image Interpretation, Computer-Assisted Registries Coronary Artery Disease Multidetector Computed Tomography Plaque, Atherosclerotic Computed Tomography Angiography Time Factors Myocardial Infarction Male ROC Curve Coronary Vessels Middle Aged Predictive Value of Tests Risk Assessment Area Under Curve Severity of Illness Index
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Small lung nodules detection based on local variance analysis and probabilistic neural network.

Computer methods and programs in biomedicine Apr 28, 2018
BACKGROUND AND OBJECTIVE: In medical examinations doctors use various techniques in order to provide to the patients an accurate analysis of their actual state of health. One of the commonly used methodologies is the x-ray screening. This examination...
Carcinoma Humans Databases, Factual Neural Networks, Computer Probability X-Rays Image Processing, Computer-Assisted Reproducibility of Results Algorithms Pattern Recognition, Automated Radiographic Image Enhancement Sensitivity and Specificity Lung Neoplasms False Positive Reactions Medical Errors Lung Solitary Pulmonary Nodule Radiographic Image Interpretation, Computer-Assisted
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Computer aided detection of ureteral stones in thin slice computed tomography volumes using Convolutional Neural Networks.

Computers in biology and medicine Apr 27, 2018
Computed tomography (CT) is the method of choice for diagnosing ureteral stones - kidney stones that obstruct the ureter. The purpose of this study is to develop a computer aided detection (CAD) algorithm for identifying a ureteral stone in thin slic...
Male Databases, Factual Radiographic Image Interpretation, Computer-Assisted Tomography, X-Ray Computed Supervised Machine Learning Ureteral Calculi Female Humans Adult Neural Networks, Computer Algorithms
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