Ye, Wenjing <br/><br/>
Detection of pulmonary ground-glass opacity based on deep learning computer artificial intelligence.  [electronic resource] 

 -  Biomedical engineering online  Jan 2019 
 - 6 p.  digital 
<br/><br/> Publication Type: Journal Article 
<br/><br/><label>ISSN: </label>1475-925X 
<br/><br/><label>Standard No.: </label>10.1186/s12938-019-0627-4  doi 
<br/><br/><label>Subjects--Topical Terms: </label><br/>Algorithms<br/>Databases, Factual<br/>Deep Learning<br/>Diagnosis, Computer-Assisted--methods<br/>False Positive Reactions<br/>Humans<br/>Image Processing, Computer-Assisted<br/>Lung--diagnostic imaging<br/>Lung Neoplasms--diagnostic imaging<br/>Radiographic Image Interpretation, Computer-Assisted--methods<br/>Radiology<br/>Reproducibility of Results<br/>Sensitivity and Specificity<br/>Solitary Pulmonary Nodule--diagnostic imaging<br/>Tomography, X-Ray Computed