000 01594 a2200469 4500
005 20250518070901.0
264 0 _c20200917
008 202009s 0 0 eng d
022 _a1536-0210
024 7 _a10.1097/RLI.0000000000000615
_2doi
040 _aNLM
_beng
_cNLM
100 1 _aChoi, Jae Won
245 0 0 _aUsing a Dual-Input Convolutional Neural Network for Automated Detection of Pediatric Supracondylar Fracture on Conventional Radiography.
_h[electronic resource]
260 _bInvestigative radiology
_c02 2020
300 _a101-110 p.
_bdigital
500 _aPublication Type: Journal Article
650 0 4 _aAlgorithms
650 0 4 _aArea Under Curve
650 0 4 _aChild
650 0 4 _aDeep Learning
650 0 4 _aElbow
_xdiagnostic imaging
650 0 4 _aFeasibility Studies
650 0 4 _aFractures, Bone
_xdiagnostic imaging
650 0 4 _aHumans
650 0 4 _aNeural Networks, Computer
650 0 4 _aROC Curve
650 0 4 _aRadiographic Image Interpretation, Computer-Assisted
_xmethods
650 0 4 _aRadiography
_xmethods
650 0 4 _aReproducibility of Results
650 0 4 _aRetrospective Studies
650 0 4 _aSensitivity and Specificity
650 0 4 _aElbow Injuries
700 1 _aCho, Yeon Jin
700 1 _aLee, Seowoo
700 1 _aLee, Jihyuk
700 1 _aLee, Seunghyun
700 1 _aChoi, Young Hun
700 1 _aCheon, Jung-Eun
700 1 _aHa, Ji Young
773 0 _tInvestigative radiology
_gvol. 55
_gno. 2
_gp. 101-110
856 4 0 _uhttps://doi.org/10.1097/RLI.0000000000000615
_zAvailable from publisher's website
999 _c30310872
_d30310872