AIMC Topic: Neural Networks, Computer

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Fetal facial standard plane recognition via very deep convolutional networks.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference
The accurate recognition of fetal facial standard plane (FFSP) (i.e., axial, coronal and sagittal plane) from ultrasound (US) images is quite essential for routine US examination. Since the labor-intensive and subjective measurement is too time-consu...

Electrocardiogram signal denoising based on a new improved wavelet thresholding.

The Review of scientific instruments
Good quality electrocardiogram (ECG) is utilized by physicians for the interpretation and identification of physiological and pathological phenomena. In general, ECG signals may mix various noises such as baseline wander, power line interference, and...

Artificial Neural Network Approach in Laboratory Test Reporting:  Learning Algorithms.

American journal of clinical pathology
OBJECTIVES: In the field of laboratory medicine, minimizing errors and establishing standardization is only possible by predefined processes. The aim of this study was to build an experimental decision algorithm model open to improvement that would e...

A connectionist modeling study of the neural mechanisms underlying pain's ability to reorient attention.

Cognitive, affective & behavioral neuroscience
Connectionist modeling was used to investigate the brain mechanisms responsible for pain's ability to shift attention away from another stimulus modality and toward itself. Different connectionist model architectures were used to simulate the differe...

[Prediction of schistosomiasis infection rates of population based on ARIMA-NARNN model].

Zhongguo xue xi chong bing fang zhi za zhi = Chinese journal of schistosomiasis control
OBJECTIVE: To explore the effect of the autoregressive integrated moving average model-nonlinear auto-regressive neural network (ARIMA-NARNN) model on predicting schistosomiasis infection rates of population.

Modeling the thermotaxis behavior of C.elegans based on the artificial neural network.

Bioengineered
ASBTRACT This research aims at modeling the thermotaxis behavior of C.elegans which is a kind of nematode with full clarified neuronal connections. Firstly, this work establishes the motion model which can perform the undulatory locomotion with turni...

Using ordinal partition transition networks to analyze ECG data.

Chaos (Woodbury, N.Y.)
Electrocardiogram (ECG) data from patients with a variety of heart conditions are studied using ordinal pattern partition networks. The ordinal pattern partition networks are formed from the ECG time series by symbolizing the data into ordinal patter...

Classifying and segmenting microscopy images with deep multiple instance learning.

Bioinformatics (Oxford, England)
MOTIVATION: High-content screening (HCS) technologies have enabled large scale imaging experiments for studying cell biology and for drug screening. These systems produce hundreds of thousands of microscopy images per day and their utility depends on...

Convolutional neural network architectures for predicting DNA-protein binding.

Bioinformatics (Oxford, England)
MOTIVATION: Convolutional neural networks (CNN) have outperformed conventional methods in modeling the sequence specificity of DNA-protein binding. Yet inappropriate CNN architectures can yield poorer performance than simpler models. Thus an in-depth...

[Study on Prediction Model of Soft Tissue Deformation during Needle Insertion].

Sheng wu yi xue gong cheng xue za zhi = Journal of biomedical engineering = Shengwu yixue gongchengxue zazhi
Polyvinyl alcohol(PVA)hydrogel was made for simulating human’s soft tissue in our experiment.The image acquisition device is composed of an optical platform,a camera and its bracket and a light source.In order to study the law of soft tissue deformat...