Liver fibrosis identification based on ultrasound images captured under varied imaging protocols / 浙江大学学报(英文版)(B辑:生物医学和生物技术)
Journal of Zhejiang University. Science. B
; (12): 1107-1114, 2005.
Article
in English
| WPRIM (Western Pacific)
| ID: wpr-263253
Responsible library:
WPRO
ABSTRACT
Diagnostic ultrasound is a useful and noninvasive method in clinical medicine. Although due to its qualitative, subjective and experience-based nature, ultrasound image interpretation can be influenced by image conditions such as scanning frequency and machine settings. In this paper, a novel method is proposed to extract the liver features using the joint features of fractal dimension and the entropies of texture edge co-occurrence matrix based on ultrasound images, which is not sensitive to changes in emission frequency and gain. Then, Fisher linear classifier and support vector machine are employed to test a group of 99 in-vivo liver fibrosis images from 18 patients, as well as other 273 liver images from 18 normal human volunteers.
Full text:
Available
Database:
WPRIM (Western Pacific)
Main subject:
Algorithms
/
Pattern Recognition, Automated
/
Artificial Intelligence
/
Diagnostic Imaging
/
Image Interpretation, Computer-Assisted
/
Image Enhancement
/
Reproducibility of Results
/
Information Storage and Retrieval
/
Ultrasonography
/
Sensitivity and Specificity
Type of study:
Diagnostic study
/
Prognostic study
/
Qualitative research
Limits:
Humans
Language:
English
Journal:
Journal of Zhejiang University. Science. B
Year:
2005
Document type:
Article