КФУ. Карточка публикации. Value of machine learning technique in the differentiation of cystic (including Atypical) and solid breast lesions at ultrasonic images

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VALUE OF MACHINE LEARNING TECHNIQUE IN THE DIFFERENTIATION OF CYSTIC (INCLUDING ATYPICAL) AND SOLID BREAST LESIONS AT ULTRASONIC IMAGES

Форма представления

Тезисы и материалы конференций в зарубежных журналах и сборниках

Год публикации

2018

Язык

английский

Авторы, сотрудники КФУ

Колчев Алексей Анатольевич, автор

Библиографическое описание на языке оригинала

D.V. Pasynkov, I.A. Egoshin, A.A. Kolchev, I.V. Kliouchkin, O.O. Pasynkova, Value of machine learning technique in the differentiation of cystic (including Atypical) and solid breast lesions at ultrasonic images. Abstract book, The 30th EUROSON Congress of the EFSUMB and 14th Scientific Congress of Polish Ultrasound Society for Ultrasound in Medicine, 6-9.09.2018, Poznan, Poland.

Аннотация

The 30th EUROSON Congress of the EFSUMB and 14th Scientific Congress of Polish Ultrasound Society for Ultrasound in Medicine

Ключевые слова

cystic and solid breast lesions, machine learning

Название журнала

The 30th EUROSON Congress of the EFSUMB and 14th Scientific Congress of Polish Ultrasound Society for Ultrasound in Medicine

URL

https://www.euroson2018poznan.pl/wp-content/uploads/abstract_book_en_pp.pdf

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https://repository.kpfu.ru/?p_id=190697

Полная запись метаданных

Поле DC	Значение	Язык
dc.contributor.author	Колчев Алексей Анатольевич	ru_RU
dc.date.accessioned	2018-01-01T00:00:00Z	ru_RU
dc.date.available	2018-01-01T00:00:00Z	ru_RU
dc.date.issued	2018	ru_RU
dc.identifier.citation	D.V. Pasynkov, I.A. Egoshin, A.A. Kolchev, I.V. Kliouchkin, O.O. Pasynkova, Value of machine learning technique in the differentiation of cystic (including Atypical) and solid breast lesions at ultrasonic images. Abstract book, The 30th EUROSON Congress of the EFSUMB and 14th Scientific Congress of Polish Ultrasound Society for Ultrasound in Medicine, 6-9.09.2018, Poznan, Poland.	ru_RU
dc.identifier.uri	https://repository.kpfu.ru/?p_id=190697	ru_RU
dc.description.abstract	The 30th EUROSON Congress of the EFSUMB and 14th Scientific Congress of Polish Ultrasound Society for Ultrasound in Medicine	ru_RU
dc.description.abstract	The first part of the differentiation process for breast lesions usually involves the distinction between cystic and solid ones. At the same time complex cysts and hypoechoic solid lesions often mimic each over during the standard visual image assessment that leads to the significant drop of specificity	ru_RU
dc.language.iso	ru	ru_RU
dc.subject	cystic and solid breast lesions	ru_RU
dc.subject	machine learning	ru_RU
dc.title	Value of machine learning technique in the differentiation of cystic (including Atypical) and solid breast lesions at ultrasonic images	ru_RU
dc.type	Тезисы и материалы конференций в зарубежных журналах и сборниках	ru_RU