Li, Li <br/><br/>
Evaluating 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.  [electronic resource] 

 -  Thoracic cancer  02 2019 
 - 183-192 p.  digital 
<br/><br/> Publication Type: Comparative Study; Evaluation Study; Journal Article 
<br/><br/><label>ISSN: </label>1759-7714 
<br/><br/><label>Standard No.: </label>10.1111/1759-7714.12931  doi 
<br/><br/><label>Subjects--Topical Terms: </label><br/>Case-Control Studies<br/>Deep Learning<br/>Diagnosis, Computer-Assisted--methods<br/>Early Detection of Cancer<br/>Female<br/>Follow-Up Studies<br/>Humans<br/>Male<br/>Middle Aged<br/>Multiple Pulmonary Nodules--diagnosis<br/>Prognosis<br/>Radiologists--statistics & numerical data<br/>Reproducibility of Results<br/>Solitary Pulmonary Nodule--diagnosis<br/>Tomography, X-Ray Computed