Computer-aided liver cirrhosis diagnosis via automatic liver segmentation and machine learning algorithm

Ting Yu Su*, Wei Tse Yang, Tsu Chi Cheng, Yi Fei He, Ching Juei Yang, Yu Hua Fang

*此作品的通信作者

研究成果: 圖書/報告稿件的類型會議稿件同行評審

3 引文 斯高帕斯(Scopus)

摘要

In this paper, a new computer-aided diagnosis system is proposed to automatically diagnose liver cirrhosis based on fourphases CT images, which included non-contrast phase, arterial phase, delay phase and portal venous phase. It is developed for the purpose of discriminating the cirrhosis into mild or severe level by automatic liver segmentation method and classification method using machine learning algorithm. First, the gradient-inverse map of CT images are calculated to derive the relative-smooth features in local area. Then we compared the centroid and area of each binary labeled groups through each slice to quantitatively extract the volume of interest (VOI) of liver automatically. In classification step, some first-order features and texture features are calculated to describe the intensity representation of liver parenchyma. Some parameters are also used to quantify the distribution of intensity in VOI. By the way, we also quantified the shape of VOI and derived some structural features. Finally, the trained support vector machine (SVM) and Neural Network (NN) classifier is applied to classify the subjects into clinical stages of the liver cirrhosis.

原文英語
主出版物標題International Forum on Medical Imaging in Asia 2019
編輯Hiroshi Fujita, Jong Hyo Kim, Feng Lin
發行者SPIE
ISBN(電子)9781510627758
DOIs
出版狀態已出版 - 2019
事件International Forum on Medical Imaging in Asia 2019 - Singapore, 新加坡
持續時間: 07 01 201909 01 2019

出版系列

名字Proceedings of SPIE - The International Society for Optical Engineering
11050
ISSN(列印)0277-786X
ISSN(電子)1996-756X

Conference

ConferenceInternational Forum on Medical Imaging in Asia 2019
國家/地區新加坡
城市Singapore
期間07/01/1909/01/19

文獻附註

Publisher Copyright:
© 2019 SPIE.

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