Tian, Shi-Feng <br/><br/>
Potential value of the PixelShine deep learning algorithm for increasing quality of 70 kVp+ASiR-V reconstruction pelvic arterial phase CT images.  [electronic resource] 

 -  Japanese journal of radiology  Feb 2019 
 - 186-190 p.  digital 
<br/><br/> Publication Type: Journal Article 
<br/><br/><label>ISSN: </label>1867-108X 
<br/><br/><label>Standard No.: </label>10.1007/s11604-018-0798-0  doi 
<br/><br/><label>Subjects--Topical Terms: </label><br/>Adult<br/>Aged<br/>Aged, 80 and over<br/>Algorithms<br/>Female<br/>Humans<br/>Image Processing, Computer-Assisted--methods<br/>Male<br/>Middle Aged<br/>Pelvis--blood supply<br/>Radiation Dosage<br/>Radiographic Image Interpretation, Computer-Assisted--methods<br/>Retrospective Studies<br/>Signal-To-Noise Ratio<br/>Tomography, X-Ray Computed--methods