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 |