title: Learning to Diagnose Cirrhosis with Liver Capsule Guided Ultrasound Image Classification.
abstract: This paper proposes a computer-aided cirrhosis diagnosis system to diagnose cirrhosis based on ultrasound images. We first propose a method to extract a liver capsule on an ultrasound image, then, based on the extracted liver capsule, we fine-tune a deep convolutional neural network (CNN) model to extract features from the image patches cropped around the liver capsules. Finally, a trained support vector machine (SVM) classifier is applied to classify the sample into normal or abnormal cases. Experimental results show that the proposed method can effectively extract the liver capsules and accurately classify the ultrasound images.
authors.affiliation: School of Computer Science, Shanghai Key Laboratory of Intelligent Information Processing, Fudan University, Shanghai 201203, China. xiangliu09@fudan.edu.cn.|School of Electronic and Electrical Engineering, Shanghai University of Engineering Science, Shanghai 201620, China. xiangliu09@fudan.edu.cn.
authors.forename: Xiang
authors.initials: X
authors.lastname: Liu
authors.affiliation: Department of ultrasound, Changzheng Hospital Affiliated to Second Military Medical University, Shanghai 200003, China. jialin19810818@126.com.
authors.forename: Jia Lin
authors.initials: JL
authors.lastname: Song
authors.affiliation: School of Computer Science, Shanghai Key Laboratory of Intelligent Information Processing, Fudan University, Shanghai 201203, China. sh_wang@fudan.edu.cn.
authors.forename: Shuo Hong
authors.initials: SH
authors.lastname: Wang
authors.affiliation: School of Computer Science, Shanghai Key Laboratory of Intelligent Information Processing, Fudan University, Shanghai 201203, China. jingwenzhao13@fudan.edu.cn.
authors.forename: Jing Wen
authors.initials: JW
authors.lastname: Zhao
authors.affiliation: School of Computer Science, Shanghai Key Laboratory of Intelligent Information Processing, Fudan University, Shanghai 201203, China. chenyq@fudan.edu.cn.
authors.forename: Yan Qiu
authors.initials: YQ
authors.lastname: Chen
mesh_terms: D006801:Humans; D008103:Liver Cirrhosis; D016571:Neural Networks, Computer; D060388:Support Vector Machine; D014463:Ultrasonography
keywords: cirrhosis; computer-aided diagnosis; convolutional neural network; ultrasound imaging