Medical Imaging Technology
Online ISSN : 2185-3193
Print ISSN : 0288-450X
ISSN-L : 0288-450X
Main Topic / Collaboration between Medical Societies and AI Image Analysis Researchers Aiming to Utilize Medical Big Data
Radiological and Endoscope Image Analyses in Nagoya University
Masahiro ODAChen SHENHirohisa ODAKensaku MORI
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JOURNAL FREE ACCESS

2019 Volume 37 Issue 2 Pages 84-88

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Abstract

This paper introduces our medical image analysis researches in the AMED project. Our research topics are radiological and endoscope image analyses. The radiological image analysis includes a blood vessel diagnosis assistance using non-contrasted abdominal CT volumes and an abdominal multi-organ segmentation from CT volumes. The endoscope image analysis includes observing area classifications of endoscope images taken in the stomach and colon. We explain approaches and results of these researches.

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© 2019 The Japanese Society of Medical Imaging Technology
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