VP03.02: A machine learning approach applied to gynecological ultrasound to predict progression‐free survival in ovarian cancer patients. Issue Volume 58:Issue S1(2021)Supplement (14th October 2021)

Record Type:: Journal Article
Title:: VP03.02: A machine learning approach applied to gynecological ultrasound to predict progression‐free survival in ovarian cancer patients. Issue Volume 58:Issue S1(2021)Supplement (14th October 2021)
Main Title:: VP03.02: A machine learning approach applied to gynecological ultrasound to predict progression‐free survival in ovarian cancer patients
Authors:: Arezzo, F.
Loizzi, V.
Lombardi, C.
Cazzato, G.
Venerito, V.
Cataldo, V.
Mongelli, M.
Cicinelli, E.
Cormio, G.
Santarsiero, C.
Abstract:
Is Part Of:: Ultrasound in obstetrics & gynecology. Volume 58:Issue S1(2021)Supplement
Journal:: Ultrasound in obstetrics & gynecology
Issue:: Volume 58:Issue S1(2021)Supplement
Issue Display:: Volume 58, Issue 1 (2021)
Year:: 2021
Volume:: 58
Issue:: 1
Issue Sort Value:: 2021-0058-0001-0000
Page Start:: 99
Page End:: 100
Publication Date:: 2021-10-14
Subjects:: Ultrasonics in obstetrics -- Periodicals
Generative organs, Female -- Diseases -- Diagnosis -- Periodicals
Diagnosis, Ultrasonic -- Periodicals
Genital Diseases, Female -- ultrasonography -- Periodicals
Ultrasonography, Prenatal -- Periodicals
618.047543
Journal URLs:: http://obgyn.onlinelibrary.wiley.com/hub/journal/10.1002/(ISSN)1469-0705/ ↗
http://onlinelibrary.wiley.com/ ↗
DOI:: 10.1002/uog.24046 ↗
Languages:: English
ISSNs:: 0960-7692
Deposit Type:: Legaldeposit
View Content:: Available online (eLD content is only available in our Reading Rooms) ↗
Physical Locations:: British Library DSC - 9082.815300
British Library DSC - BLDSS-3PM
British Library STI - ELD Digital store
Ingest File:: 24439.xml