2016 Fiscal Year Final Research Report
Meta anatomical information-oriented medical image processing - new medical image processing in post big data era
Project/Area Number |
26560255
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Research Category |
Grant-in-Aid for Challenging Exploratory Research
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Allocation Type | Multi-year Fund |
Research Field |
Medical systems
|
Research Institution | Nagoya University |
Principal Investigator |
Mori Kensaku 名古屋大学, 情報連携統括本部, 教授 (10293664)
|
Research Collaborator |
Daniel Ruckert インペリアルカレッジロンドン
|
Project Period (FY) |
2014-04-01 – 2017-03-31
|
Keywords | 医用画像処理 / セグメンテーション / 機械学習 / 解剖構造認識 / メタ解剖 |
Outline of Final Research Achievements |
This project aims to create new academic field called Meta anatomical information-oriented medical image processing under the prediction on big change of medical imaging devices. The research project achieved research outcomes in the topics including: (a) definition of target organs in meta-anatomy and its database format, (b) meta-anatomical structure recognition based on conditional random field, (c) meta-anatomical structure extraction from deep learning, (4) automated estimation of bounding boxes of target organ areas, (5) atlas-based anatomical structure recognition using meta-anatomical information database, (6) automated anatomical label assignments to blood vessels based on conditional random field, and (7) evaluation from clinical viewpoints.
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Free Research Field |
画像処理
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