AIMC Topic: Databases, Factual

Clear Filters Showing 3051 to 3060 of 3080 articles

Improving medical diagnosis reliability using Boosted C5.0 decision tree empowered by Particle Swarm Optimization.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference
Improving accuracy of supervised classification algorithms in biomedical applications is one of active area of research. In this study, we improve the performance of Particle Swarm Optimization (PSO) combined with C4.5 decision tree (PSO+C4.5) classi...

Tree Topology Estimation.

IEEE transactions on pattern analysis and machine intelligence
Tree-like structures are fundamental in nature, and it is often useful to reconstruct the topology of a tree - what connects to what - from a two-dimensional image of it. However, the projected branches often cross in the image: the tree projects to ...

Quantitative analysis of breast echotexture patterns in automated breast ultrasound images.

Medical physics
PURPOSE: Breast tissue composition is considered to be associated with breast cancer risk. This study aimed to develop a computer-aided classification (CAC) system to automatically classify echotexture patterns as heterogeneous or homogeneous using a...

[Study on Sleep Staging Based on Support Vector Machines and Feature Selection in Single Channel Electroencephalogram].

Sheng wu yi xue gong cheng xue za zhi = Journal of biomedical engineering = Shengwu yixue gongchengxue zazhi
Sleep electroencephalogram (EEG) is an important index in diagnosing sleep disorders and related diseases. Manual sleep staging is time-consuming and often influenced by subjective factors. Existing automatic sleep staging methods have high complexit...

Validating FMEA output against incident learning data: A study in stereotactic body radiation therapy.

Medical physics
PURPOSE: Though failure mode and effects analysis (FMEA) is becoming more widely adopted for risk assessment in radiation therapy, to our knowledge, its output has never been validated against data on errors that actually occur. The objective of this...

Semi-Supervised Affinity Propagation with Soft Instance-Level Constraints.

IEEE transactions on pattern analysis and machine intelligence
Soft-constraint semi-supervised affinity propagation (SCSSAP) adds supervision to the affinity propagation (AP) clustering algorithm without strictly enforcing instance-level constraints. Constraint violations lead to an adjustment of the AP similari...

The Ninapro database: A resource for sEMG naturally controlled robotic hand prosthetics.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference
The dexterous natural control of robotic prosthetic hands with non-invasive techniques is still a challenge: surface electromyography gives some control capabilities but these are limited, often not natural and require long training times; the applic...

An automatic method for the enrichment of DICOM metadata using biomedical ontologies.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference
This work is a novel contribution for enriching medical images using semantic annotations with a strategy for unifying different ontologies and instances of DICOM medical files. We present the L-MOM library (Library for Mapping of Ontological Metadat...

A reusable ontology for primitive and complex HL7 FHIR data types.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference
HL7(®) FHIR(®) standard is a new standard aiming to offer more flexible interoperability mechanisms. We present a stand-alone RDF vocabulary as an OWL ontology that defines the primitive and complex data types of the FHIR framework, alongside their v...