Computer Assisted Differential Diagnosis of Hepatic Tumors in Ultrasound Images Based on Data Mining and Vision Models (3/3)
Date Issued
2002-07-31
Date
2002-07-31
Author(s)
DOI
902213E002123
Abstract
In the third year, we have developed a
new segmentation scheme, which is capable
of extracting multiple hepatic tumors
simultaneously from an ultrasound image.
Moreover, we have combined the
segmentation results and the classification
scheme to achieve a classification accuracy
of 85.78% with leave-one-out crossvalidation
by using only texture information.
As a future study, it is believed that the
performance can be further improved by
incorporating the characteristics of the
boundary vicinity information.
Subjects
Computer assisted diagnosis
Hepatic tumor
Ultrasound image
Image
Segmentation
Segmentation
Data Mining
Publisher
臺北市：國立臺灣大學醫學工程學研究所
Type
report
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