AIMC Topic: Radiographic Image Interpretation, Computer-Assisted

Clear Filters Showing 1061 to 1070 of 1324 articles

Multi-scale textural feature extraction and particle swarm optimization based model selection for false positive reduction in mammography.

Computerized medical imaging and graphics : the official journal of the Computerized Medical Imaging Society Feb 24, 2015
The high number of false positives and the resulting number of avoidable breast biopsies are the major problems faced by current mammography Computer Aided Detection (CAD) systems. False positive reduction is not only a requirement for mass but also ...
Humans Algorithms Computer Simulation Female Reproducibility of Results Sensitivity and Specificity Breast Neoplasms Support Vector Machine Models, Statistical Mammography Radiographic Image Interpretation, Computer-Assisted Pattern Recognition, Automated False Positive Reactions Radiographic Image Enhancement
View on PubMed DOI

Segmentation of pulmonary nodules in computed tomography using a regression neural network approach and its application to the Lung Image Database Consortium and Image Database Resource Initiative dataset.

Medical image analysis Feb 23, 2015
We present new pulmonary nodule segmentation algorithms for computed tomography (CT). These include a fully-automated (FA) system, a semi-automated (SA) system, and a hybrid system. Like most traditional systems, the new FA system requires only a sin...
Radiographic Image Interpretation, Computer-Assisted Pattern Recognition, Automated Radiography, Thoracic Radiographic Image Enhancement Algorithms Databases, Factual Tomography, X-Ray Computed Reproducibility of Results Solitary Pulmonary Nodule Humans Regression Analysis Data Interpretation, Statistical Neural Networks, Computer Sensitivity and Specificity Lung Neoplasms
View on PubMed DOI

Automated system for lung nodules classification based on wavelet feature descriptor and support vector machine.

Biomedical engineering online Feb 12, 2015
BACKGROUND: Lung cancer is a leading cause of death worldwide; it refers to the uncontrolled growth of abnormal cells in the lung. A computed tomography (CT) scan of the thorax is the most sensitive method for detecting cancerous lung nodules. A lung...
Automation Pattern Recognition, Automated Wavelet Analysis ROC Curve Incidental Findings Humans Imaging, Three-Dimensional Solitary Pulmonary Nodule Algorithms Lung Neoplasms Tomography, X-Ray Computed Area Under Curve Support Vector Machine Sensitivity and Specificity Radiographic Image Interpretation, Computer-Assisted Referral and Consultation
View on PubMed DOI

Improving the Mann-Whitney statistical test for feature selection: an approach in breast cancer diagnosis on mammography.

Artificial intelligence in medicine Dec 12, 2014
OBJECTIVE: This work addresses the theoretical description and experimental evaluation of a new feature selection method (named uFilter). The uFilter improves the Mann-Whitney U-test for reducing dimensionality and ranking features in binary classifi...
Models, Statistical Female Humans Mammography Discriminant Analysis Reproducibility of Results Machine Learning Predictive Value of Tests Radiographic Image Interpretation, Computer-Assisted Breast Neoplasms Algorithms Bayes Theorem Chi-Square Distribution Diagnosis, Computer-Assisted Databases, Factual Linear Models
View on PubMed DOI

Three-dimensional SVM with latent variable: application for detection of lung lesions in CT images.

Journal of medical systems Dec 4, 2014
The study aims to improve the performance of current computer-aided schemes for the detection of lung lesions, especially the low-contrast in gray density or irregular in shape. The relative position between suspected lesion and whole lung is, for th...
Lung Neoplasms Support Vector Machine Radiographic Image Interpretation, Computer-Assisted Lung Diseases Humans Algorithms Tomography, X-Ray Computed Time Factors
View on PubMed DOI

Towards cybernetic surgery: robotic and augmented reality-assisted liver segmentectomy.

Langenbeck's archives of surgery Nov 13, 2014
BACKGROUND: Augmented reality (AR) in surgery consists in the fusion of synthetic computer-generated images (3D virtual model) obtained from medical imaging preoperative workup and real-time patient images in order to visualize unapparent anatomical ...
Cybernetics Robotics Radiographic Image Interpretation, Computer-Assisted Surgery, Computer-Assisted Hepatectomy Humans Software Tomography, X-Ray Computed Female Male Liver Neoplasms Imaging, Three-Dimensional
View on PubMed DOI

Computer-aided diagnosis of mammographic masses using scalable image retrieval.

IEEE transactions on bio-medical engineering Oct 28, 2014
Computer-aided diagnosis of masses in mammograms is important to the prevention of breast cancer. Many approaches tackle this problem through content-based image retrieval techniques. However, most of them fall short of scalability in the retrieval s...
Reproducibility of Results Sensitivity and Specificity Breast Neoplasms Calcinosis Mammography Radiographic Image Interpretation, Computer-Assisted Pattern Recognition, Automated Image Enhancement Humans Artificial Intelligence Algorithms Female
View on PubMed DOI

A natural language processing pipeline for pairing measurements uniquely across free-text CT reports.

Journal of biomedical informatics Sep 6, 2014
OBJECTIVE: To standardize and objectivize treatment response assessment in oncology, guidelines have been proposed that are driven by radiological measurements, which are typically communicated in free-text reports defying automated processing. We st...
Tomography, X-Ray Computed Reproducibility of Results ROC Curve Computational Biology Humans Machine Learning Software Algorithms Data Mining Medical Oncology Radiology Information Systems Radiography, Abdominal Natural Language Processing Area Under Curve Radiology Radiographic Image Interpretation, Computer-Assisted
View on PubMed DOI

Computer-aided diagnosis of malignant mammograms using Zernike moments and SVM.

Journal of digital imaging Jul 9, 2014
This work is directed toward the development of a computer-aided diagnosis (CAD) system to detect abnormalities or suspicious areas in digital mammograms and classify them as malignant or nonmalignant. Original mammogram is preprocessed to separate t...
Humans Radiographic Image Enhancement Breast Neoplasms Databases, Factual Support Vector Machine Female Mammography Reproducibility of Results Radiographic Image Interpretation, Computer-Assisted Sensitivity and Specificity
View on PubMed DOI

Single Inspiratory Chest CT-based Generative Deep Learning Models to Evaluate Functional Small Airways Disease.

Radiology. Artificial intelligence Sep 1, 2025
Purpose To develop a deep learning model that uses a single inspiratory chest CT scan to perform parametric response mapping (PRM) and predict functional small airways disease (fSAD). Materials and Methods In this retrospective study, predictive and ...
Humans Retrospective Studies Tomography, X-Ray Computed Lung Female Radiographic Image Interpretation, Computer-Assisted Deep Learning Aged Radiography, Thoracic Male Inhalation Middle Aged
View on PubMed DOI
Popular Topics
Recent Journals