| 000 | 01530 a2200421 4500 | ||
|---|---|---|---|
| 005 | 20250518013022.0 | ||
| 264 | 0 | _c20200207 | |
| 008 | 202002s 0 0 eng d | ||
| 022 | _a1759-7714 | ||
| 024 | 7 |
_a10.1111/1759-7714.12931 _2doi |
|
| 040 |
_aNLM _beng _cNLM |
||
| 100 | 1 | _aLi, Li | |
| 245 | 0 | 0 |
_aEvaluating the performance of a deep learning-based computer-aided diagnosis (DL-CAD) system for detecting and characterizing lung nodules: Comparison with the performance of double reading by radiologists. _h[electronic resource] |
| 260 |
_bThoracic cancer _c02 2019 |
||
| 300 |
_a183-192 p. _bdigital |
||
| 500 | _aPublication Type: Comparative Study; Evaluation Study; Journal Article | ||
| 650 | 0 | 4 | _aCase-Control Studies |
| 650 | 0 | 4 | _aDeep Learning |
| 650 | 0 | 4 |
_aDiagnosis, Computer-Assisted _xmethods |
| 650 | 0 | 4 | _aEarly Detection of Cancer |
| 650 | 0 | 4 | _aFemale |
| 650 | 0 | 4 | _aFollow-Up Studies |
| 650 | 0 | 4 | _aHumans |
| 650 | 0 | 4 | _aMale |
| 650 | 0 | 4 | _aMiddle Aged |
| 650 | 0 | 4 |
_aMultiple Pulmonary Nodules _xdiagnosis |
| 650 | 0 | 4 | _aPrognosis |
| 650 | 0 | 4 |
_aRadiologists _xstatistics & numerical data |
| 650 | 0 | 4 | _aReproducibility of Results |
| 650 | 0 | 4 |
_aSolitary Pulmonary Nodule _xdiagnosis |
| 650 | 0 | 4 | _aTomography, X-Ray Computed |
| 700 | 1 | _aLiu, Zhou | |
| 700 | 1 | _aHuang, Hua | |
| 700 | 1 | _aLin, Meng | |
| 700 | 1 | _aLuo, Dehong | |
| 773 | 0 |
_tThoracic cancer _gvol. 10 _gno. 2 _gp. 183-192 |
|
| 856 | 4 | 0 |
_uhttps://doi.org/10.1111/1759-7714.12931 _zAvailable from publisher's website |
| 999 |
_c29149797 _d29149797 |
||