Open AccessBrain tissue development of neonates with Congenital Septal Defect: Study on MRI Image Evaluation of Deep Learning Algorithm
Author(s) -
Jianfei Zhu,
Jiaolei Chen,
Yunhui Zhang,
Jianwei Ji
Publication year - 2021
Publication title -
pakistan journal of medical sciences
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.316
H-Index - 30
eISSN - 1682-024X
pISSN - 1681-715X
DOI - 10.12669/pjms.37.6-wit.4863
Subject(s) - medicine , ventricle , youden's j statistic , heart disease , significant difference , cardiology , nuclear medicine , algorithm , receiver operating characteristic , computer science
This article is based on deep learning algorithms and uses MRI to study the development of congenital heart septal defects in neonatal brain tissue.
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