A New Method for Osteosarcoma Recognition Based on Bayesian Classifier
2014 ◽
Vol 543-547
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pp. 2901-2904
Keyword(s):
In order to deal with the complexity and uncertainty in medical image diagnosis of osteosarcoma, we proposed a new method based on Bayesian network, and first applied it to recognize osteosarcoma. A new multidimensional feature vector composed of both biochemical indicator and the quantized image features is defined and used as input to the Bayesian network, so as to establish a more accurate and reliable osteosarcoma recognition probability model. Experimental results demonstrate the effective of our method, there are 50 training samples and 30 testing samples, and the accuracy is up to 86.67%, which close to the expert diagnosis.
2019 ◽
pp. 37-60
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Keyword(s):
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2007 ◽
Vol 2007
(0)
◽
pp. 155-156
Keyword(s):
2017 ◽
Vol 23
(1)
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pp. 48-59
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Keyword(s):
Proceedings of the ISCIE International Symposium on Stochastic Systems Theory and its Applications
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2012 ◽
Vol 2012
(0)
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pp. 89-94
2021 ◽
Vol 7
(10)
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pp. 55-60