AIMC Topic: Automation

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Multi-modal vertebrae recognition using Transformed Deep Convolution Network.

Computerized medical imaging and graphics : the official journal of the Computerized Medical Imaging Society
Automatic vertebra recognition, including the identification of vertebra locations and naming in multiple image modalities, are highly demanded in spinal clinical diagnoses where large amount of imaging data from various of modalities are frequently ...

An automated knowledge-based textual summarization system for longitudinal, multivariate clinical data.

Journal of biomedical informatics
OBJECTIVES: Design and implement an intelligent free-text summarization system: The system's input includes large numbers of longitudinal, multivariate, numeric and symbolic clinical raw data, collected over varying periods of time, and in different ...

Automatic segmentation of vertebral contours from CT images using fuzzy corners.

Computers in biology and medicine
Automatic segmentation of bone in computed tomography (CT) images is critical for the implementation of computer-assisted diagnosis which has increasing potential in the evaluation of various spine disorders. Of the many techniques available for deli...

Automatic Multiple-Needle Surgical Planning of Robotic-Assisted Microwave Coagulation in Large Liver Tumor Therapy.

PloS one
The "robotic-assisted liver tumor coagulation therapy" (RALTCT) system is a promising candidate for large liver tumor treatment in terms of accuracy and speed. A prerequisite for effective therapy is accurate surgical planning. However, it is difficu...

Intelligent Agent Transparency in Human-Agent Teaming for Multi-UxV Management.

Human factors
OBJECTIVE: We investigated the effects of level of agent transparency on operator performance, trust, and workload in a context of human-agent teaming for multirobot management.

Comparison of Support-Vector Machine and Sparse Representation Using a Modified Rule-Based Method for Automated Myocardial Ischemia Detection.

Computational and mathematical methods in medicine
An automatic method is presented for detecting myocardial ischemia, which can be considered as the early symptom of acute coronary events. Myocardial ischemia commonly manifests as ST- and T-wave changes on ECG signals. The methods in this study are ...

A new approach for automatic sleep scoring: Combining Taguchi based complex-valued neural network and complex wavelet transform.

Computer methods and programs in biomedicine
Automatic classification of sleep stages is one of the most important methods used for diagnostic procedures in psychiatry and neurology. This method, which has been developed by sleep specialists, is a time-consuming and difficult process. Generally...

Automated evaluation of protein binding affinity of anti-inflammatory choline based ionic liquids.

Talanta
In this work, an automated system for the study of the interaction of drugs with human serum albumin (HSA) was developed. The methodology was based on the quenching of the intrinsic fluorescence of HSA by binding of the drug to one of its binding sit...

Automated identification of copepods using digital image processing and artificial neural network.

BMC bioinformatics
BACKGROUND: Copepods are planktonic organisms that play a major role in the marine food chain. Studying the community structure and abundance of copepods in relation to the environment is essential to evaluate their contribution to mangrove trophodyn...

Measurement of viral load by the automated Abbott real-time HIV-1 assay using dried blood spots collected and processed in Malawi and Mozambique.

South African medical journal = Suid-Afrikaanse tydskrif vir geneeskunde
BACKGROUND: The use of dried blood spots (DBS) for HIV-1 viral load quantification can greatly improve access to viral monitoring for HIV-infected patients receiving treatment in resource-limited settings.