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Proceedings Paper

The application of decision trees algorithm for selecting the area of the left ventricle on echocardiographic images
Author(s): V. V. Zyuzin; A. O. Bobkova; S. V. Porshnev; A. A. Mukhtarov; V. V. Bobkov
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Paper Abstract

The article represents the results of applying various machine learning methods for solving the problem of identifying the edges of a left ventricle area in ultrasound images. The problem of the determination this area consider as a special case of binary classification of pixels. It is shown that the level of correct classification of pixels more than 94.6%. The complex model Bag-10 demonstrates the best result of classification - 98.4%.

Paper Details

Date Published: 11 July 2016
PDF: 7 pages
Proc. SPIE 10011, First International Workshop on Pattern Recognition, 100110I (11 July 2016); doi: 10.1117/12.2242561
Show Author Affiliations
V. V. Zyuzin, Ural Federal Univ. (Russian Federation)
A. O. Bobkova, Ural Federal Univ. (Russian Federation)
S. V. Porshnev, Ural Federal Univ. (Russian Federation)
A. A. Mukhtarov, Ural Federal Univ. (Russian Federation)
V. V. Bobkov, Ural State Univ. of Economics (Russian Federation)


Published in SPIE Proceedings Vol. 10011:
First International Workshop on Pattern Recognition
Xudong Jiang; Guojian Chen; Genci Capi; Chiharu Ishll, Editor(s)

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