Pota, Marco <br/><br/>
Early prediction of radiotherapy-induced parotid shrinkage and toxicity based on CT radiomics and fuzzy classification.  [electronic resource] 

 -  Artificial intelligence in medicine  Sep 2017 
 - 41-53 p.  digital 
<br/><br/> Publication Type: Comparative Study; Journal Article 
<br/><br/><label>ISSN: </label>1873-2860 
<br/><br/><label>Standard No.: </label>10.1016/j.artmed.2017.03.004  doi 
<br/><br/><label>Subjects--Topical Terms: </label><br/>Bayes Theorem<br/>Cranial Irradiation--adverse effects<br/>Early Diagnosis<br/>Fuzzy Logic<br/>Head and Neck Neoplasms--radiotherapy<br/>Humans<br/>Machine Learning<br/>Parotid Gland--diagnostic imaging<br/>Predictive Value of Tests<br/>Radiation Exposure--adverse effects<br/>Radiation Injuries--diagnostic imaging<br/>Radiographic Image Interpretation, Computer-Assisted--methods<br/>Radiotherapy Dosage<br/>Risk Factors<br/>Time Factors<br/>Tomography, X-Ray Computed<br/>Xerostomia--diagnostic imaging