Bulten, Wouter <br/><br/>
Epithelium segmentation using deep learning in H&E-stained prostate specimens with immunohistochemistry as reference standard.  [electronic resource] 

 -  Scientific reports  01 2019 
 - 864 p.  digital 
<br/><br/> Publication Type: Journal Article; Research Support, Non-U.S. Gov't 
<br/><br/><label>ISSN: </label>2045-2322 
<br/><br/><label>Standard No.: </label>10.1038/s41598-018-37257-4  doi 
<br/><br/><label>Subjects--Topical Terms: </label><br/>Automation, Laboratory<br/>Cohort Studies<br/>Deep Learning<br/>Eosine Yellowish-(YS)<br/>Epithelium--pathology<br/>Hematoxylin<br/>Humans<br/>Image Processing, Computer-Assisted<br/>Immunohistochemistry--methods<br/>Keratin-8--metabolism<br/>Male<br/>Membrane Proteins--metabolism<br/>Neoplasm Staging<br/>Prostate--pathology<br/>Prostatic Neoplasms--diagnosis<br/>Reference Standards<br/>Staining and Labeling