VP66.24: The adoption of radiomics and machine learning improves the diagnostic processes of women with ovarian masses (aroma study). (15th October 2020)

Record Type:
Journal Article
Title:
VP66.24: The adoption of radiomics and machine learning improves the diagnostic processes of women with ovarian masses (aroma study). (15th October 2020)
Main Title:
VP66.24: The adoption of radiomics and machine learning improves the diagnostic processes of women with ovarian masses (aroma study)
Authors:
Chiappa, V.
Bogani, G.
Bertolina, F.
Interlenghi, M.
Salvatore, C.
Signorelli, M.
Castiglioni, I.
Raspagliesi, F.
Abstract:
Is Part Of:
Ultrasound in obstetrics & gynecology. Volume 56(2020)Supplement 1
Journal:
Ultrasound in obstetrics & gynecology
Issue:
Volume 56(2020)Supplement 1
Issue Display:
Volume 56, Issue 1 (2020)
Year:
2020
Volume:
56
Issue:
1
Issue Sort Value:
2020-0056-0001-0000
Page Start:
371
Page End:
371
Publication Date:
2020-10-15
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.23482 ↗
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:
14460.xml