11 July 2016 The application of decision trees algorithm for selecting the area of the left ventricle on echocardiographic images
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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%.
© (2016) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
V. V. Zyuzin, V. V. Zyuzin, A. O. Bobkova, A. O. Bobkova, S. V. Porshnev, S. V. Porshnev, A. A. Mukhtarov, A. A. Mukhtarov, V. V. Bobkov, 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); doi: 10.1117/12.2242561; https://doi.org/10.1117/12.2242561
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