Imperial College London

Professor Tom Bourne

Faculty of MedicineDepartment of Metabolism, Digestion and Reproduction

Chair in Gynaecology
 
 
 
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Contact

 

+44 (0)20 3313 5131t.bourne Website

 
 
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Location

 

Early pregnancy and acute gynaecologyInstitute of Reproductive and Developmental BiologyHammersmith Campus

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Summary

 

Publications

Citation

BibTex format

@article{Al-karawi:2021:10.1177/0161734621998091,
author = {Al-karawi, D and Al-Assam, H and Du, H and Sayasneh, A and Landolfo, C and Timmerman, D and Bourne, T and Jassim, S},
doi = {10.1177/0161734621998091},
journal = {ULTRASONIC IMAGING},
pages = {124--138},
title = {An Evaluation of the Effectiveness of Image-based Texture Features Extracted from Static B-mode Ultrasound Images in Distinguishing between Benign and Malignant Ovarian Masses},
url = {http://dx.doi.org/10.1177/0161734621998091},
volume = {43},
year = {2021}
}

RIS format (EndNote, RefMan)

TY  - JOUR
AU - Al-karawi,D
AU - Al-Assam,H
AU - Du,H
AU - Sayasneh,A
AU - Landolfo,C
AU - Timmerman,D
AU - Bourne,T
AU - Jassim,S
DO - 10.1177/0161734621998091
EP - 138
PY - 2021///
SN - 0161-7346
SP - 124
TI - An Evaluation of the Effectiveness of Image-based Texture Features Extracted from Static B-mode Ultrasound Images in Distinguishing between Benign and Malignant Ovarian Masses
T2 - ULTRASONIC IMAGING
UR - http://dx.doi.org/10.1177/0161734621998091
UR - https://www.webofscience.com/api/gateway?GWVersion=2&SrcApp=PARTNER_APP&SrcAuth=LinksAMR&KeyUT=WOS:000624220200001&DestLinkType=FullRecord&DestApp=ALL_WOS&UsrCustomerID=a2bf6146997ec60c407a63945d4e92bb
VL - 43
ER -