title: ÐÐ¿ÑÐµÐ´ÐµÐ»ÐµÐ½Ð¸Ðµ ÑÐ¸Ð¿Ð° Ð²Ð½ÑÑÑÐ¸ÑÐµÑÐµÐ¿Ð½Ð¾Ð³Ð¾ ÐºÑÐ¾Ð²Ð¾Ð¸Ð·Ð»Ð¸ÑÐ½Ð¸Ñ Ð¿Ð¾ ÐÐ Ð¢ Ð³Ð¾Ð»Ð¾Ð²Ð½Ð¾Ð³Ð¾ Ð¼Ð¾Ð·Ð³Ð°
title: Ð²ÑÐ¿ÑÑÐºÐ½Ð°Ñ ÐºÐ²Ð°Ð»Ð¸ÑÐ¸ÐºÐ°ÑÐ¸Ð¾Ð½Ð½Ð°Ñ ÑÐ°Ð±Ð¾ÑÐ° Ð±Ð°ÐºÐ°Ð»Ð°Ð²ÑÐ°
titleType: Subtitle
title: Determining intracranial hemorrhage type by brain MRI
Creators: name: ÐÐ°Ð·Ð°ÑÐ¾Ð², ÐÐ¸ÐºÐ¸ÑÐ°
Publisher: name: Ð¡Ð°Ð½ÐºÑ-ÐÐµÑÐµÑÐ±ÑÑÐ³ÑÐºÐ¸Ð¹ Ð¿Ð¾Ð»Ð¸ÑÐµÑÐ½Ð¸ÑÐµÑÐºÐ¸Ð¹ ÑÐ½Ð¸Ð²ÐµÑÑÐ¸ÑÐµÑ ÐÐµÑÑÐ° ÐÐµÐ»Ð¸ÐºÐ¾Ð³Ð¾
Year: 2020
Subjects: Ð²Ð½ÑÑÑÐ¸ÑÐµÑÐµÐ¿Ð½Ð¾Ðµ ÐºÑÐ¾Ð²Ð¾Ð¸Ð·Ð»Ð¸ÑÐ½Ð¸Ðµ
Ð¼Ð°ÑÐ¸Ð½Ð½Ð¾Ðµ Ð¾Ð±ÑÑÐµÐ½Ð¸Ðµ
Ð¾Ð±ÑÐ°Ð±Ð¾ÑÐºÐ° Ð¸Ð·Ð¾Ð±ÑÐ°Ð¶ÐµÐ½Ð¸Ñ
intracranial hemorrhage
machine learning
image processing

description: ÐÐ½ÑÑÑÐ¸ÑÐµÑÐµÐ¿Ð½Ð¾Ðµ ÐºÑÐ¾Ð²Ð¾Ð¸Ð·Ð»Ð¸ÑÐ½Ð¸Ðµ ÑÐ²Ð»ÑÐµÑÑÑ ÑÐµÑÑÐµÐ·Ð½Ð¾Ð¹ Ð¿ÑÐ¾Ð±Ð»ÐµÐ¼Ð¾Ð¹ Ð´Ð»Ñ Ð·Ð´Ð¾ÑÐ¾Ð²ÑÑ, ÑÑÐµÐ±ÑÑÑÐµÐ¹ Ð±ÑÑÑÑÐ¾Ð³Ð¾ Ð¸ Ð¸Ð½ÑÐµÐ½ÑÐ¸Ð²Ð½Ð¾Ð³Ð¾ Ð¼ÐµÐ´Ð¸ÑÐ¸Ð½ÑÐºÐ¾Ð³Ð¾ Ð»ÐµÑÐµÐ½Ð¸Ñ. ÐÐ»Ð³Ð¾ÑÐ¸ÑÐ¼, ÐºÐ¾ÑÐ¾ÑÑÐ¹ ÑÐ¼Ð¾Ð³ Ð±Ñ Ð²ÑÐ´ÐµÐ»ÑÑÑ ÐºÑÐ¾Ð²Ð¾Ð¸Ð·Ð»Ð¸ÑÐ½Ð¸Ñ Ð½Ð° ÐÐ Ð¢ Ð¸ Ð¾Ð¿ÑÐµÐ´ÐµÐ»ÑÑÑ Ð¸Ñ ÑÐ¸Ð¿ ÑÐ¸Ð»ÑÐ½Ð¾ Ð¿Ð¾Ð¼Ð¾Ð³ Ð±Ñ Ð´Ð¾ÐºÑÐ¾ÑÐ°Ð¼ Ð² Ð¿ÑÐ¾ÑÐµÑÑÐµ Ð»ÐµÑÐµÐ½Ð¸Ñ. Ð Ð´Ð°Ð½Ð½Ð¾Ð¹ ÑÐ°Ð±Ð¾ÑÐµ Ð¸Ð·Ð»Ð¾Ð¶ÐµÐ½ Ð¿Ð¾Ð´ÑÐ¾Ð´ Ðº Ð¾Ð±ÑÐ°Ð±Ð¾ÑÐºÐµ ÐÐ Ð¢ Ð³Ð¾Ð»Ð¾Ð²Ð½Ð¾Ð³Ð¾ Ð¼Ð¾Ð·Ð³Ð°. ÐÑÐµÐ´Ð»Ð¾Ð¶ÐµÐ½ ÑÐ¿Ð¾ÑÐ¾Ð± ÑÐ¸Ð»ÑÑÑÐ°ÑÐ¸Ð¸ Ð½ÐµÐ¿ÑÐ¸Ð³Ð¾Ð´Ð½ÑÑ Ð´Ð»Ñ Ð°Ð½Ð°Ð»Ð¸Ð·Ð° ÐÐ Ð¢. Ð­ÑÐ¾Ñ ÑÐ¿Ð¾ÑÐ¾Ð± Ð±ÑÐ» ÑÑÐ°ÑÐ¸ÑÑÐ¸ÑÐµÑÐºÐ¸ Ð¸ ÑÐ¼Ð¿Ð¸ÑÐ¸ÑÐµÑÐºÐ¸ Ð¾Ð±Ð¾ÑÐ½Ð¾Ð²Ð°Ð½, ÑÑÐ¾ Ð¾Ð·Ð½Ð°ÑÐ°ÐµÑ Ð²Ð¾Ð·Ð¼Ð¾Ð¶Ð½Ð¾ÑÑÑ ÐµÐ³Ð¾ Ð¸ÑÐ¿Ð¾Ð»ÑÐ·Ð¾Ð²Ð°Ð½Ð¸Ñ Ð´Ð»Ñ Ð²ÑÐµÐ¹ Ð³ÐµÐ½ÐµÑÐ°Ð»ÑÐ½Ð¾Ð¹ ÑÐ¾Ð²Ð¾ÐºÑÐ¿Ð½Ð¾ÑÑÐ¸ ÐÐ Ð¢ Ð³Ð¾Ð»Ð¾Ð²Ð½Ð¾Ð³Ð¾ Ð¼Ð¾Ð·Ð³Ð°. Ð¢Ð°ÐºÐ¶Ðµ Ð¿ÑÐµÐ´Ð»Ð¾Ð¶ÐµÐ½ Ð°Ð»Ð³Ð¾ÑÐ¸ÑÐ¼ Ð²ÑÐ´ÐµÐ»ÐµÐ½Ð¸Ñ ÐºÑÐ¾Ð²Ð¾Ð¸Ð·Ð»Ð¸ÑÐ½Ð¸Ð¹ Ð½Ð° ÐÐ Ð¢ Ñ Ð¿Ð¾Ð¼Ð¾ÑÑÑ ÑÐ¸Ð»ÑÑÑÐ°ÑÐ¸Ð¸ Ð¸ Ð½Ð°ÑÐ¾Ð¶Ð´ÐµÐ½Ð¸Ñ ÐºÐ¾Ð¼Ð¿Ð¾Ð½ÐµÐ½Ñ ÑÐ²ÑÐ·Ð½Ð¾ÑÑÐ¸. Ð¡Ð¿Ð¾ÑÐ¾Ð± Ð²ÑÐ´ÐµÐ»ÐµÐ½Ð¸Ñ ÑÐ¸ÑÐ»Ð¾Ð²ÑÑ Ð¿ÑÐ¸Ð·Ð½Ð°ÐºÐ¾Ð² Ð´Ð»Ñ ÐºÑÐ¾Ð²Ð¾Ð¸Ð·Ð»Ð¸ÑÐ½Ð¸Ð¹, Ð¾Ð¿Ð¸ÑÐ°Ð½Ð½ÑÐ¹ Ð² Ð´Ð°Ð½Ð½Ð¾Ð¹ ÑÐ°Ð±Ð¾ÑÐµ, Ð¿Ð¾Ð·Ð²Ð¾Ð»ÑÐµÑ Ð¸ÑÐ¿Ð¾Ð»ÑÐ·Ð¾Ð²Ð°ÑÑ ÑÐ°Ð·Ð»Ð¸ÑÐ½ÑÐµ Ð¼ÐµÑÐ¾Ð´Ñ Ð¼Ð°ÑÐ¸Ð½Ð½Ð¾Ð³Ð¾ Ð¾Ð±ÑÑÐµÐ½Ð¸Ñ Ð´Ð»Ñ ÑÐµÑÐµÐ½Ð¸Ñ Ð·Ð°Ð´Ð°ÑÐ¸ Ð¾Ð¿ÑÐµÐ´ÐµÐ»ÐµÐ½Ð¸Ñ ÑÐ¸Ð¿Ð° ÐºÑÐ¾Ð²Ð¾Ð¸Ð·Ð»Ð¸ÑÐ½Ð¸Ñ. ÐÑÐ»Ð¾ Ð¿ÑÐ¾Ð²ÐµÐ´ÐµÐ½Ð¾ Ð¸ÑÑÐ»ÐµÐ´Ð¾Ð²Ð°Ð½Ð¸Ðµ Ð½ÐµÑÐºÐ¾Ð»ÑÐºÐ¸Ñ Ð°Ð»Ð³Ð¾ÑÐ¸ÑÐ¼Ð¾Ð² ÐºÐ»Ð°ÑÑÐ¸ÑÐ¸ÐºÐ°ÑÐ¸Ð¸, Ð² ÑÐµÐ·ÑÐ»ÑÑÐ°ÑÐµ ÐºÐ¾ÑÐ¾ÑÐ¾Ð³Ð¾ Random Forest Ð¿Ð¾ÐºÐ°Ð·Ð°Ð» ÑÐ°Ð¼ÑÑ Ð²ÑÑÐ¾ÐºÑÑ ÑÐ¾ÑÐ½Ð¾ÑÑÑ Ð² 71.8% Ð½Ð° ÑÐµÑÑÐ¾Ð²Ð¾Ð¹ Ð²ÑÐ±Ð¾ÑÐºÐµ. ÐÐ´Ð½Ð°ÐºÐ¾ Ð²ÑÐµ ÐºÐ»Ð°ÑÑÐ¸ÑÐ¸ÐºÐ°ÑÐ¾ÑÑ Ð½Ðµ ÑÐ¿ÑÐ°Ð²Ð¸Ð»Ð¸ÑÑ Ñ Ð¾Ð¿ÑÐµÐ´ÐµÐ»ÐµÐ½Ð¸ÐµÐ¼ ÑÐ¿Ð¸Ð´ÑÑÐ°Ð»ÑÐ½ÑÑ Ð³ÐµÐ¼Ð°ÑÐ¾Ð¼, ÑÑÐ¾ ÑÐ²ÑÐ·Ð°Ð½Ð¾ Ñ ÑÐµÐ¼, ÑÑÐ¾ ÑÑÐ¸ ÐºÑÐ¾Ð²Ð¾Ð¸Ð·Ð»Ð¸ÑÐ½Ð¸Ñ ÑÐ²Ð»ÑÑÑÑÑ ÑÐ°Ð¼ÑÐ¼Ð¸ ÑÐµÐ´ÐºÐ¸Ð¼Ð¸.
description: Intracranial hemorrhage is a serious health problem requiring quick and intensive medical treatment. An algorithm that could isolate hemorrhages on MRI and determine their type would greatly help doctors in the treatment process. This paper sets out an approach to the processing of brain MRI. A method for filtering unsuitable for MRI analysis is proposed. This method was statistically and empirically justified, which means the possibility of its use for the entire brain MRI population. An algorithm for isolating hemorrhages on MRI using filtering and finding connected components is also suggested. The method for identifying numerical signs for hemorrhages described in this paper allows the use of various machine learning methods to solve the problem of determining the type of hemorrhage. A study of several classification algorithms was conducted, as a result of which Random Forest showed the highest accuracy at 71.8% on the test sample. However, all classifiers failed to determine the epidural hematomas, this is due to the fact that these hemorrhages are the rarest.