KFU. Card publication. 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

Form of presentation

Conference proceedings in international journals and collections

Year of publication

2018

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Authors, employees of KFU

Kolchev Aleksey Anatolevich, author

Bibliographic description in the original language

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.

Annotation

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

Keywords

cystic and solid breast lesions, machine learning

The name of the journal

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

Please use this ID to quote from or refer to the card

https://repository.kpfu.ru/eng/?p_id=190697&p_lang=2

Full metadata record

Field DC	Value	Language
dc.contributor.author	Kolchev Aleksey Anatolevich	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/eng/?p_id=190697&p_lang=2	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	Conference proceedings in international journals and collections	ru_RU