Zhao, Wei <br/><br/>
3D Deep Learning from CT Scans Predicts Tumor Invasiveness of Subcentimeter Pulmonary Adenocarcinomas.  [electronic resource] 

 -  Cancer research  12 2018 
 - 6881-6889 p.  digital 
<br/><br/> Publication Type: Journal Article; Research Support, Non-U.S. Gov't 
<br/><br/><label>ISSN: </label>1538-7445 
<br/><br/><label>Standard No.: </label>10.1158/0008-5472.CAN-18-0696  doi 
<br/><br/><label>Subjects--Topical Terms: </label><br/>Adenocarcinoma--diagnostic imaging<br/>Adolescent<br/>Adult<br/>Aged<br/>Aged, 80 and over<br/>Area Under Curve<br/>Decision Making<br/>Deep Learning<br/>Diagnosis, Computer-Assisted<br/>Female<br/>Humans<br/>Image Processing, Computer-Assisted--methods<br/>Imaging, Three-Dimensional--methods<br/>Lung Neoplasms--diagnostic imaging<br/>Male<br/>Middle Aged<br/>Mutation<br/>Neoplasm Invasiveness<br/>Neural Networks, Computer<br/>Precision Medicine<br/>Prognosis<br/>Retrospective Studies<br/>Tomography, X-Ray Computed<br/>Young Adult