Classification of Liver Diseases Based on Ultrasound Image Texture Features

Classification of Liver Diseases Based on Ultrasound Image Texture Features

This paper discusses using computer-aided diagnosis (CAD) to distinguish between hepatocellular carcinoma (HCC), i.e., the most common type of primary liver malignancy and a leading cause of death in people with cirrhosis worldwide, and liver abscess based on ultrasound image texture features and a...

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Bibliographic Details
Main Authors: Sendren Sheng-Dong Xu, Chun-Chao Chang, Chien-Tien Su, Pham Quoc Phu
Format: Article
Language:English
Published: MDPI AG 2019-01-01
Series:Applied Sciences
Subjects:
classification
F-score
gray-level co-occurrence matrix (GLCM)
gray-level run-length matrix (GLRLM)
hepatocellular carcinoma (HCC)
liver cancer
liver abscess
image texture
sequential backward selection (SBS)
sequential forward selection (SFS)
support vector machine (SVM)
ultrasound images
Online Access:http://www.mdpi.com/2076-3417/9/2/342

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http://www.mdpi.com/2076-3417/9/2/342

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