IEICE TRANSACTIONS on Information
ICA Mixture Analysis of Four-Phase Abdominal CT Images
Summary :
This paper presents a new analysis result of two-dimensional four-phase abdominal CT images using variational Bayesian mixture of ICA. The four-phase CT images are assumed to be comprised of several exclusive areas, and each area is generated by a set of corresponding independent components. ICA mixture analysis results show that the CT images could be divided into a set of clinically and anatomically meaningful components. Initial analysis of the independent components shows its promising prospects in medical image processing and computer-aided diagnosis.
- Publication
- IEICE TRANSACTIONS on Information Vol.E87-D No.11 pp.2521-2525
- Publication Date
- 2004/11/01
- Publicized
- Online ISSN
- DOI
- Type of Manuscript
- LETTER
- Category
- Biological Engineering
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Xuebin HU, Akinobu SHIMIZU, Hidefumi KOBATAKE, Shigeru NAWANO, "ICA Mixture Analysis of Four-Phase Abdominal CT Images" in IEICE TRANSACTIONS on Information,
vol. E87-D, no. 11, pp. 2521-2525, November 2004, doi: .
Abstract: This paper presents a new analysis result of two-dimensional four-phase abdominal CT images using variational Bayesian mixture of ICA. The four-phase CT images are assumed to be comprised of several exclusive areas, and each area is generated by a set of corresponding independent components. ICA mixture analysis results show that the CT images could be divided into a set of clinically and anatomically meaningful components. Initial analysis of the independent components shows its promising prospects in medical image processing and computer-aided diagnosis.
URL: https://global.ieice.org/en_transactions/information/10.1587/e87-d_11_2521/_p
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@ARTICLE{e87-d_11_2521,
author={Xuebin HU, Akinobu SHIMIZU, Hidefumi KOBATAKE, Shigeru NAWANO, },
journal={IEICE TRANSACTIONS on Information},
title={ICA Mixture Analysis of Four-Phase Abdominal CT Images},
year={2004},
volume={E87-D},
number={11},
pages={2521-2525},
abstract={This paper presents a new analysis result of two-dimensional four-phase abdominal CT images using variational Bayesian mixture of ICA. The four-phase CT images are assumed to be comprised of several exclusive areas, and each area is generated by a set of corresponding independent components. ICA mixture analysis results show that the CT images could be divided into a set of clinically and anatomically meaningful components. Initial analysis of the independent components shows its promising prospects in medical image processing and computer-aided diagnosis.},
keywords={},
doi={},
ISSN={},
month={November},}
Copy
TY - JOUR
TI - ICA Mixture Analysis of Four-Phase Abdominal CT Images
T2 - IEICE TRANSACTIONS on Information
SP - 2521
EP - 2525
AU - Xuebin HU
AU - Akinobu SHIMIZU
AU - Hidefumi KOBATAKE
AU - Shigeru NAWANO
PY - 2004
DO -
JO - IEICE TRANSACTIONS on Information
SN -
VL - E87-D
IS - 11
JA - IEICE TRANSACTIONS on Information
Y1 - November 2004
AB - This paper presents a new analysis result of two-dimensional four-phase abdominal CT images using variational Bayesian mixture of ICA. The four-phase CT images are assumed to be comprised of several exclusive areas, and each area is generated by a set of corresponding independent components. ICA mixture analysis results show that the CT images could be divided into a set of clinically and anatomically meaningful components. Initial analysis of the independent components shows its promising prospects in medical image processing and computer-aided diagnosis.
ER -
English
