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2014 Fiscal Year Final Research Report

Performance improvement of computer-assisted detection/diagnosis system by considering diversity of image data and temporal change of radiologists' reading characteristics

Research Project

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Project/Area Number 25750182
Research Category

Grant-in-Aid for Young Scientists (B)

Allocation TypeMulti-year Fund
Research Field Medical systems
Research InstitutionThe University of Tokyo

Principal Investigator

NOMURA Yukihiro  東京大学, 医学部附属病院, 特任研究員 (60436491)

Project Period (FY) 2013-04-01 – 2015-03-31
Keywords医用画像 / 診断支援システム / 機械学習 / 遠隔読影環境 / 診断傾向
Outline of Final Research Achievements

In this study, a performance improvement of computer-assisted detection/diagnosis (CAD) software by considering diversity of image data and temporal change of reading characteristics was investigated. We investigated the performance improvement of CAD software for each institution based on retraining through a simulation-based study. According to the results, the performance of CAD software for each institution was improved by retraining. We also investigated a temporal variation of detecting characteristics for cerebral aneurysms in a routine work.

Free Research Field

医用画像処理

URL: 

Published: 2016-06-03  

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