Computer-Aided Diagnosis and Quantification of Cirrhotic Livers Based on Morphological Analysis and Machine Learning

It is widely known that morphological changes of the liver and the spleen occur during the clinical course of chronic liver diseases. In this paper, we proposed a morphological analysis method based on statistical shape models (SSMs) of the liver and spleen for computer-aided diagnosis and quantific...

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Autores principales: Chen, Yen-Wei, Luo, Jie, Dong, Chunhua, Han, Xianhua, Tateyama, Tomoko, Furukawa, Akira, Kanasaki, Shuzo
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Hindawi Publishing Corporation 2013
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3804362/
https://www.ncbi.nlm.nih.gov/pubmed/24187579
http://dx.doi.org/10.1155/2013/264809
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author Chen, Yen-Wei
Luo, Jie
Dong, Chunhua
Han, Xianhua
Tateyama, Tomoko
Furukawa, Akira
Kanasaki, Shuzo
author_facet Chen, Yen-Wei
Luo, Jie
Dong, Chunhua
Han, Xianhua
Tateyama, Tomoko
Furukawa, Akira
Kanasaki, Shuzo
author_sort Chen, Yen-Wei
collection PubMed
description It is widely known that morphological changes of the liver and the spleen occur during the clinical course of chronic liver diseases. In this paper, we proposed a morphological analysis method based on statistical shape models (SSMs) of the liver and spleen for computer-aided diagnosis and quantification of the chronic liver. We constructed not only the liver SSM but also the spleen SSM and a joint SSM of the liver and the spleen for a morphologic analysis of the cirrhotic liver in CT images. The effective modes are selected based on both its accumulation contribution rate and its correlation with doctor's opinions (stage labels). We then learn a mapping function between the selected mode and the stage of chronic liver. The mapping function was used for diagnosis and staging of chronic liver diseases.
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spelling pubmed-38043622013-11-03 Computer-Aided Diagnosis and Quantification of Cirrhotic Livers Based on Morphological Analysis and Machine Learning Chen, Yen-Wei Luo, Jie Dong, Chunhua Han, Xianhua Tateyama, Tomoko Furukawa, Akira Kanasaki, Shuzo Comput Math Methods Med Research Article It is widely known that morphological changes of the liver and the spleen occur during the clinical course of chronic liver diseases. In this paper, we proposed a morphological analysis method based on statistical shape models (SSMs) of the liver and spleen for computer-aided diagnosis and quantification of the chronic liver. We constructed not only the liver SSM but also the spleen SSM and a joint SSM of the liver and the spleen for a morphologic analysis of the cirrhotic liver in CT images. The effective modes are selected based on both its accumulation contribution rate and its correlation with doctor's opinions (stage labels). We then learn a mapping function between the selected mode and the stage of chronic liver. The mapping function was used for diagnosis and staging of chronic liver diseases. Hindawi Publishing Corporation 2013 2013-09-29 /pmc/articles/PMC3804362/ /pubmed/24187579 http://dx.doi.org/10.1155/2013/264809 Text en Copyright © 2013 Yen-Wei Chen et al. https://creativecommons.org/licenses/by/3.0/ This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Research Article
Chen, Yen-Wei
Luo, Jie
Dong, Chunhua
Han, Xianhua
Tateyama, Tomoko
Furukawa, Akira
Kanasaki, Shuzo
Computer-Aided Diagnosis and Quantification of Cirrhotic Livers Based on Morphological Analysis and Machine Learning
title Computer-Aided Diagnosis and Quantification of Cirrhotic Livers Based on Morphological Analysis and Machine Learning
title_full Computer-Aided Diagnosis and Quantification of Cirrhotic Livers Based on Morphological Analysis and Machine Learning
title_fullStr Computer-Aided Diagnosis and Quantification of Cirrhotic Livers Based on Morphological Analysis and Machine Learning
title_full_unstemmed Computer-Aided Diagnosis and Quantification of Cirrhotic Livers Based on Morphological Analysis and Machine Learning
title_short Computer-Aided Diagnosis and Quantification of Cirrhotic Livers Based on Morphological Analysis and Machine Learning
title_sort computer-aided diagnosis and quantification of cirrhotic livers based on morphological analysis and machine learning
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3804362/
https://www.ncbi.nlm.nih.gov/pubmed/24187579
http://dx.doi.org/10.1155/2013/264809
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