A Feasibility Study on Kinematic Feature Extraction from the Human Interventricular Septum toward Hypertension Classification

Computational Modeling of Objects Presented in Images. Fundamentals, Methods, and Applications - Lecture Notes in Computer Science ◽

10.1007/978-3-319-09994-1_4 ◽

2014 ◽

pp. 36-47 ◽

Cited By ~ 3

Author(s):

Jing Xu ◽

Jia Wu ◽

Bahram Notghi ◽

Marc Simon ◽

John C. Brigham

Keyword(s):

Feature Extraction ◽

Feasibility Study ◽

Interventricular Septum ◽

Kinematic Feature

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A new approach to kinematic feature extraction from the human right ventricle for classification of hypertension: a feasibility study

Physics in Medicine and Biology ◽

10.1088/0031-9155/57/23/7905 ◽

2012 ◽

Vol 57 (23) ◽

pp. 7905-7922 ◽

Cited By ~ 13

Author(s):

Jia Wu ◽

Yingqian Wang ◽

Marc A Simon ◽

John C Brigham

Keyword(s):

Feature Extraction ◽

Right Ventricle ◽

Feasibility Study ◽

Human Right ◽

New Approach ◽

Kinematic Feature

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RF-energised intracoronary guidewire to enhance bipolar ablation of the interventricular septum: in-silico feasibility study

International Journal of Hyperthermia ◽

10.1080/02656736.2018.1425487 ◽

2018 ◽

Vol 34 (8) ◽

pp. 1202-1212

Author(s):

Juan J. Pérez ◽

Ana González-Suárez ◽

Andre d’Avila ◽

Enrique Berjano

Keyword(s):

Feasibility Study ◽

In Silico ◽

Interventricular Septum ◽

Bipolar Ablation

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Feasibility Study of HHT Method on Helicopter Rotor Imbalance Fault Feature Extraction

Proceedings of the 3rd International Conference on Mechanical Engineering and Intelligent Systems (ICMEIS 2015) ◽

10.2991/icmeis-15.2015.70 ◽

2015 ◽

Author(s):

Wen Cao ◽

Zhen-hong Xing ◽

Yi Yao ◽

Meng Zhang

Keyword(s):

Feature Extraction ◽

Feasibility Study ◽

Helicopter Rotor ◽

Rotor Imbalance ◽

Fault Feature Extraction

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Vinegar classification based on feature extraction and selection from headspace solid-phase microextraction/gas chromatography volatile analyses: A feasibility study

Analytica Chimica Acta ◽

10.1016/j.aca.2007.12.006 ◽

2008 ◽

Vol 608 (1) ◽

pp. 38-47 ◽

Cited By ~ 32

Author(s):

C. Pizarro ◽

I. Esteban-Díez ◽

C. Sáenz-González ◽

J.M. González-Sáiz

Keyword(s):

Gas Chromatography ◽

Feature Extraction ◽

Feasibility Study ◽

Solid Phase Microextraction ◽

Solid Phase ◽

Headspace Solid Phase Microextraction ◽

Feature Extraction And Selection

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An Improved Quantitative Image Analyser

Proceedings, annual meeting, Electron Microscopy Society of America ◽

10.1017/s0424820100078663 ◽

1977 ◽

Vol 35 ◽

pp. 226-227

Author(s):

J.P. Fallon ◽

P.J. Gregory ◽

C.J. Taylor

Keyword(s):

Feature Extraction ◽

Quantitative Analysis ◽

Frequency Content ◽

General Sense ◽

Physical Measurements ◽

Quantitative Image ◽

Image Analyser ◽

Automatic Methods ◽

Quantitative Results

Quantitative image analysis systems have been used for several years in research and quality control applications in various fields including metallurgy and medicine. The technique has been applied as an extension of subjective microscopy to problems requiring quantitative results and which are amenable to automatic methods of interpretation.Feature extraction. In the most general sense, a feature can be defined as a portion of the image which differs in some consistent way from the background. A feature may be characterized by the density difference between itself and the background, by an edge gradient, or by the spatial frequency content (texture) within its boundaries. The task of feature extraction includes recognition of features and encoding of the associated information for quantitative analysis.Quantitative Analysis. Quantitative analysis is the determination of one or more physical measurements of each feature. These measurements may be straightforward ones such as area, length, or perimeter, or more complex stereological measurements such as convex perimeter or Feret's diameter.

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