Artificial Neural Network for Evaluation of Recurrent Nasopharyngeal Carcinomas using 18-Fluoro-2-Deoxyglucose Positron Emission Tomography / Computed Tomography: Effects on Radiologists' Performance

Wing Tung Lam, Fuk Tang, E Pang

Research output: Book chapter/Published conference paperConference paperpeer-review

Abstract

The purpose of the study is to evaluate the effect of artificial neural network outputs on radiologists' diagnostic performance using receiver operating characteristic analysis. And to establish a diagnostic model for evaluation of recurrent NPC based on PET/CT images.
Original languageEnglish
Title of host publication18th National Scientific Meeting, Chinese Society of Imaging Technology
Pages67-67
Number of pages1
Publication statusPublished - 2010
Event18th National Scientific Meeting, Chinese Society of Imaging Technology - China, China
Duration: 18 Dec 2010 → …

Conference

Conference18th National Scientific Meeting, Chinese Society of Imaging Technology
Country/TerritoryChina
Period18/12/10 → …

Fingerprint

Dive into the research topics of 'Artificial Neural Network for Evaluation of Recurrent Nasopharyngeal Carcinomas using 18-Fluoro-2-Deoxyglucose Positron Emission Tomography / Computed Tomography: Effects on Radiologists' Performance'. Together they form a unique fingerprint.

Cite this