000 01688 a2200445 4500
005 20250518080315.0
264 0 _c20211203
008 202112s 0 0 eng d
022 _a1469-0705
024 7 _a10.1002/uog.21967
_2doi
040 _aNLM
_beng
_cNLM
100 1 _aXie, H N
245 0 0 _aUsing deep-learning algorithms to classify fetal brain ultrasound images as normal or abnormal.
_h[electronic resource]
260 _bUltrasound in obstetrics & gynecology : the official journal of the International Society of Ultrasound in Obstetrics and Gynecology
_c10 2020
300 _a579-587 p.
_bdigital
500 _aPublication Type: Evaluation Study; Journal Article; Research Support, Non-U.S. Gov't
650 0 4 _aBrain
_xabnormalities
650 0 4 _aDeep Learning
650 0 4 _aDiagnosis, Differential
650 0 4 _aFeasibility Studies
650 0 4 _aFemale
650 0 4 _aFetus
_xabnormalities
650 0 4 _aHumans
650 0 4 _aImage Processing, Computer-Assisted
_xmethods
650 0 4 _aNervous System Malformations
_xdiagnostic imaging
650 0 4 _aPregnancy
650 0 4 _aROC Curve
650 0 4 _aSensitivity and Specificity
650 0 4 _aUltrasonography, Prenatal
_xclassification
700 1 _aWang, N
700 1 _aHe, M
700 1 _aZhang, L H
700 1 _aCai, H M
700 1 _aXian, J B
700 1 _aLin, M F
700 1 _aZheng, J
700 1 _aYang, Y Z
773 0 _tUltrasound in obstetrics & gynecology : the official journal of the International Society of Ultrasound in Obstetrics and Gynecology
_gvol. 56
_gno. 4
_gp. 579-587
856 4 0 _uhttps://doi.org/10.1002/uog.21967
_zAvailable from publisher's website
999 _c30491418
_d30491418