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%.
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