Form of presentation | Conference proceedings in international journals and collections |
Year of publication | 2018 |
Язык | английский |
|
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 ![](https://shelly.kpfu.ru/pdf/picture/arrow_black_right.gif) |
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 |
|