Computer-Aided Diagnosis Scheme for Detection of Lacunar Infarcts on MR Images-Reference-Cited by-同舟云学术

Computer-Aided Diagnosis Scheme for Detection of Lacunar Infarcts on MR Images

Published:2007-12 Issue:12 Volume:14 Page:1554-1561
ISSN:1076-6332
Container-title:Academic Radiology
language:en
Short-container-title:Academic Radiology

Author:

Uchiyama Yoshikazu,Yokoyama Ryujiro,Ando Hiromich,Asano Takahiko,Kato Hiroki,Yamakawa Hiroyasu,Yamakawa Haruki,Hara Takeshi,Iwama Toru,Hoshi Hiroaki,Fujita Hiroshi

Publisher

Elsevier BV

Subject

Radiology Nuclear Medicine and imaging

Reference28 articles.

1. An automated detection of lacunar infarct regions in brain MR images: preliminary study (in Japanese);Yokoyama;Jap J Radiol Tech,2002

2. Development of an automated method for detection of lacunar infarct regions on brain MR images;Yokoyama;International Conference Series,2005

3. CAD scheme for detection of lacunar infarcts in brain MR image;Uchiyama;Int J Comp Assisted Radiol Surg,2006

4. Computer-aided diagnosis scheme for detection of unruptured intracranial aneurysms in MR angiography;Uchiyama;Proc IEEE Engineering Med Biol 27th Annu Int Conf,2005

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