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Automated Bone Age Assessment Using Feature Extraction

2012
Bone age assessment is a task performed daily in hospitals worldwide, this involves a clinician estimating the age of a patient from a radiograph of the non-dominant hand. In this paper, we propose a combination of image processing and feature extraction algorithms to automatically predict the Tanner-Whitehouse bone stage, the assessment standard used ...
Davis, Luke M.   +2 more
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Automated feature extraction of epileptic EEG using Approximate Entropy

2012 12th International Conference on Hybrid Intelligent Systems (HIS), 2012
The disease epilepsy is characterized by a sudden and recurrent malfunction of the brain that is termed seizer. The electroencephalogram (EEG) signals play an important role in the diagnosis of epilepsy. Nonlinear analysis quantifies the EEG signal to address randomness and predictability of brain activity. In this study we evaluate differences between
Kirti K. Kale, J. P. Gawande
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MADAFE: Malicious Account Detection on Twitter with Automated Feature Extraction

2019 11th International Conference on Wireless Communications and Signal Processing (WCSP), 2019
Nowadays, more and more massive cyber-attacks have been launched over social networks. Using compromised or fake accounts, criminals can exploit the inherent trust between connected users to effectively spread malicious content and perform scams against users.
Hao Yue 0001   +3 more
openaire   +2 more sources

A model-based approach for automated feature extraction in fundus images

Proceedings Ninth IEEE International Conference on Computer Vision, 2003
A new approach to automatically extract the main features in color fundus images is proposed. The optic disk is localized by principal component analysis (PCA) and its shape is detected by a modified active shape model (ASM). Exudates are extracted by the combined region growing and edge detection.
Huiqi Li, Opas Chutatape
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ECG waveform feature extraction and its application to automated prognosis

International Journal of Computer & Information Sciences, 1973
Automated correlation of ECG history for early detection of heart disease, especially among the young, has been a matter of increasing interest. However, each electrocardiogram, recorded say a few months apart, generates anywhere from 600 to 2400 digitized data, so that statistical methods cannot directly be applied.
openaire   +1 more source

Salient feature extraction of industrial objects for an automated assembly system

Computers in Industry, 2005
This paper presents a vision based human-robotic interaction (HRI) framework for the modeling and localization of industrial objects typically found in an assembly task. Automating robotic vision for complicated industrial objects is an important, yet still difficult task, especially in the stage of extracting object features.
openaire   +2 more sources

Automated feature extraction in oceanographic visualization

2004
The ocean is characterized by a multitude of powerful, sporadic biophysical dynamical events; scientific research has reached the stage that their interpretation and prediction is now becoming possible. Ocean prediction, analogous to atmospheric weather prediction but combining biological, chemical and physical features is able to help us understand ...
openaire   +1 more source

Development of Automated Feature Extraction and Convolutional Neural Network Optimization for Real-Time Warping Monitoring in 3D Printing

International Journal of Computer Integrated Manufacturing, 2022
Jiarui Xie   +2 more
exaly  

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