The application of decision trees algorithm for selecting the area of the left ventricle on echocardiographic images

V. V. Zyuzin; A. O. Bobkova; S. V. Porshnev; A. A. Mukhtarov; V. V. Bobkov

doi:10.1117/12.2242561

11 July 2016 The application of decision trees algorithm for selecting the area of the left ventricle on echocardiographic images

V. V. Zyuzin, A. O. Bobkova, S. V. Porshnev, A. A. Mukhtarov, V. V. Bobkov

Author Affiliations +

Proceedings Volume 10011, First International Workshop on Pattern Recognition; 100110I (2016) https://doi.org/10.1117/12.2242561
Event: First International Workshop on Pattern Recognition, 2016, Tokyo, Japan

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%.

Citation Download Citation

V. V. Zyuzin, A. O. Bobkova, S. V. Porshnev, A. A. Mukhtarov, and V. V. Bobkov "The application of decision trees algorithm for selecting the area of the left ventricle on echocardiographic images", Proc. SPIE 10011, First International Workshop on Pattern Recognition, 100110I (11 July 2016); https://doi.org/10.1117/12.2242561

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