Schlegl, Thomas <br/><br/>
Fully Automated Detection and Quantification of Macular Fluid in OCT Using Deep Learning.  [electronic resource] 

 -  Ophthalmology  04 2018 
 - 549-558 p.  digital 
<br/><br/> Publication Type: Comparative Study; Journal Article; Research Support, Non-U.S. Gov't; Validation Study 
<br/><br/><label>ISSN: </label>1549-4713 
<br/><br/><label>Standard No.: </label>10.1016/j.ophtha.2017.10.031  doi 
<br/><br/><label>Subjects--Topical Terms: </label><br/>Aged<br/>Deep Learning<br/>Diabetic Retinopathy--diagnostic imaging<br/>Diagnosis, Computer-Assisted--methods<br/>Female<br/>Humans<br/>Macular Edema--diagnostic imaging<br/>Male<br/>Middle Aged<br/>ROC Curve<br/>Reproducibility of Results<br/>Retinal Vein Occlusion--diagnostic imaging<br/>Subretinal Fluid--diagnostic imaging<br/>Tomography, Optical Coherence--methods<br/>Visual Acuity<br/>Wet Macular Degeneration--diagnostic imaging