Форма представления | Тезисы и материалы конференций в зарубежных журналах и сборниках |
Год публикации | 2018 |
Язык | английский |
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Колчев Алексей Анатольевич, автор
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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 |
Пожалуйста, используйте этот идентификатор, чтобы цитировать или ссылаться на эту карточку |
https://repository.kpfu.ru/?p_id=190697 |
Полная запись метаданных ![](https://shelly.kpfu.ru/pdf/picture/arrow_black_right.gif) |
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 |
|