Premium
P33.10: ImageJ system: a novel technique to identify cervical lesions
Author(s) -
Domali E.,
Papoutsis D.,
Kyriakopoulos K.,
Rodolakis A.,
Chaidopoulos D.,
Mesogitis S.,
Antsaklis A.
Publication year - 2011
Publication title -
ultrasound in obstetrics and gynecology
Language(s) - Uncategorized
Resource type - Journals
SCImago Journal Rank - 3.202
H-Index - 141
eISSN - 1469-0705
pISSN - 0960-7692
DOI - 10.1002/uog.10001
Subject(s) - medicine , lesion , cervix , squamous intraepithelial lesion , ultrasound , statistical software , statistical analysis , optical density , radiology , gynecology , pathology , cervical intraepithelial neoplasia , cervical cancer , ophthalmology , statistics , mathematics , software engineering , cancer , engineering
Accelerating Research
Robert Robinson Avenue,
Oxford Science Park, Oxford
OX4 4GP, United Kingdom
Address
John Eccles HouseRobert Robinson Avenue,
Oxford Science Park, Oxford
OX4 4GP, United Kingdom