AIMC Topic: Radiographic Image Interpretation, Computer-Assisted

Clear Filters Showing 1041 to 1050 of 1324 articles

Computer-aided diagnosis system for lung nodules based on computed tomography using shape analysis, a genetic algorithm, and SVM.

Medical & biological engineering & computing Oct 3, 2016
Lung cancer is the major cause of death among patients with cancer worldwide. This work is intended to develop a methodology for the diagnosis of lung nodules using images from the Image Database Consortium and Image Database Resource Initiative (LID...
Tomography, X-Ray Computed Female Reproducibility of Results Sensitivity and Specificity Solitary Pulmonary Nodule Humans Radiographic Image Interpretation, Computer-Assisted Algorithms Pattern Recognition, Automated Radiographic Image Enhancement Male Middle Aged Models, Genetic Support Vector Machine
View on PubMed DOI

Multilevel Contextual 3-D CNNs for False Positive Reduction in Pulmonary Nodule Detection.

IEEE transactions on bio-medical engineering Sep 26, 2016
OBJECTIVE: False positive reduction is one of the most crucial components in an automated pulmonary nodule detection system, which plays an important role in lung cancer diagnosis and early treatment. The objective of this paper is to effectively add...
Radiographic Image Interpretation, Computer-Assisted Pattern Recognition, Automated False Positive Reactions Machine Learning Algorithms Tomography, X-Ray Computed Reproducibility of Results Sensitivity and Specificity Diagnostic Errors Imaging, Three-Dimensional Solitary Pulmonary Nodule Humans Neural Networks, Computer
View on PubMed DOI

Efficient Descriptor-Based Segmentation of Parotid Glands With Nonlocal Means.

IEEE transactions on bio-medical engineering Sep 16, 2016
OBJECTIVE: We introduce descriptor-based segmentation that extends existing patch-based methods by combining intensities, features, and location information. Since it is unclear which image features are best suited for patch selection, we perform a b...
Neural Networks, Computer Tomography, X-Ray Computed Reproducibility of Results Sensitivity and Specificity Humans Subtraction Technique Radiographic Image Interpretation, Computer-Assisted Parotid Gland Pattern Recognition, Automated Radiographic Image Enhancement
View on PubMed DOI

Computer-assisted framework for machine-learning-based delineation of GTV regions on datasets of planning CT and PET/CT images.

Journal of radiation research Sep 8, 2016
We have proposed a computer-assisted framework for machine-learning-based delineation of gross tumor volumes (GTVs) following an optimum contour selection (OCS) method. The key idea of the proposed framework was to feed image features around GTV cont...
Humans Machine Learning Female Support Vector Machine Positron Emission Tomography Computed Tomography Aged Radiographic Image Interpretation, Computer-Assisted Aged, 80 and over Tumor Burden Male
View on PubMed DOI

Task-Driven Dictionary Learning Based on Mutual Information for Medical Image Classification.

IEEE transactions on bio-medical engineering Sep 1, 2016
OBJECTIVE: We present a novel variant of the bag-of-visual-words (BoVW) method for automated medical image classification.
Subtraction Technique Dictionaries as Topic Humans Sensitivity and Specificity Machine Learning Radiographic Image Interpretation, Computer-Assisted Tomography, X-Ray Computed Pattern Recognition, Automated Reproducibility of Results Radiography, Thoracic
View on PubMed DOI

Automatic Liver Segmentation from CT Images Using Single-Block Linear Detection.

BioMed research international Aug 18, 2016
Automatic liver segmentation not only plays an important role in the analysis of liver disease, but also reduces the cost and humanity's impact in segmentation. In addition, liver segmentation is a very challenging task due to countless anatomical va...
Humans Machine Learning Liver Algorithms Tomography, X-Ray Computed Computer Simulation Reproducibility of Results Radiographic Image Interpretation, Computer-Assisted Sensitivity and Specificity Linear Models Liver Neoplasms Pattern Recognition, Automated
View on PubMed DOI

Large scale deep learning for computer aided detection of mammographic lesions.

Medical image analysis Aug 2, 2016
Recent advances in machine learning yielded new techniques to train deep neural networks, which resulted in highly successful applications in many pattern recognition tasks such as object detection and speech recognition. In this paper we provide a h...
Radiographic Image Interpretation, Computer-Assisted Breast Sensitivity and Specificity Humans Breast Neoplasms Neural Networks, Computer Mammography Machine Learning
View on PubMed DOI

A neural network-based method for spectral distortion correction in photon counting x-ray CT.

Physics in medicine and biology Jul 29, 2016
Spectral CT using a photon counting x-ray detector (PCXD) shows great potential for measuring material composition based on energy dependent x-ray attenuation. Spectral CT is especially suited for imaging with K-edge contrast agents to address the ot...
Mice, Inbred C57BL Radiographic Image Interpretation, Computer-Assisted Artifacts Phantoms, Imaging Photons Algorithms Tomography, X-Ray Computed Animals Mice Neural Networks, Computer
View on PubMed DOI

Adapting content-based image retrieval techniques for the semantic annotation of medical images.

Computerized medical imaging and graphics : the official journal of the Computerized Medical Imaging Society Feb 4, 2016
The automatic annotation of medical images is a prerequisite for building comprehensive semantic archives that can be used to enhance evidence-based diagnosis, physician education, and biomedical research. Annotation also has important applications i...
Liver Natural Language Processing Radiographic Image Interpretation, Computer-Assisted Data Mining Documentation Semantics Pattern Recognition, Automated Terminology as Topic Tomography, X-Ray Computed Reproducibility of Results Sensitivity and Specificity Imaging, Three-Dimensional Humans Machine Learning Algorithms Radiology Information Systems Radiographic Image Enhancement Database Management Systems
View on PubMed DOI

Development of intelligent systems based on Bayesian regularization network and neuro-fuzzy models for mass detection in mammograms: A comparative analysis.

Computer methods and programs in biomedicine Nov 6, 2015
Female breast cancer is the second most common cancer in the world. Several efforts in artificial intelligence have been made to help improving the diagnostic accuracy at earlier stages. However, the identification of breast abnormalities, like masse...
Diagnosis, Computer-Assisted Fuzzy Logic Models, Statistical Nerve Net Bayes Theorem Databases, Factual Mammography Normal Distribution Humans Radiographic Image Interpretation, Computer-Assisted Female Pectoralis Muscles Artificial Intelligence Breast Reproducibility of Results Algorithms Pattern Recognition, Automated Breast Neoplasms
View on PubMed DOI
Popular Topics
Recent Journals