Classification Model of Corneal Opacity Based on Digital Image Features / 中国医疗器械杂志
Chinese Journal of Medical Instrumentation
;
(6): 361-365, 2021.
Article
in Chinese
| WPRIM
| ID: wpr-888624
ABSTRACT
OBJECTIVE@#According to the digital image features of corneal opacity, a multi classification model of support vector machine (SVM) was established to explore the objective quantification method of corneal opacity.@*METHODS@#The cornea digital images of dead pigs were collected, part of the color features and texture features were extracted according to the previous experience, and the SVM multi classification model was established. The test results of the model were evaluated by precision, sensitivity and @*RESULTS@#In the classification of corneal opacity, the highest @*CONCLUSIONS@#The SVM multi classification model can classify the degree of corneal opacity.
Full text:
Available
Index:
WPRIM (Western Pacific)
Main subject:
Swine
/
Corneal Opacity
/
Support Vector Machine
Limits:
Animals
Language:
Chinese
Journal:
Chinese Journal of Medical Instrumentation
Year:
2021
Type:
Article
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