Research of automatic medical image segmentation algorithm based on Tsallis entropy and improved PCNN

Shi Weili Shi Weili,Chen Zhanfang Chen Zhanfang,Miao Yu Miao Yu,Zhang Hongbiao Zhang Hongbiao

doi:10.1109/icma.2009.5246315

Research of automatic medical image segmentation algorithm based on Tsallis entropy and improved PCNN

Shi Weili Shi Weili, Chen Zhanfang Chen Zhanfang + Show 2 more

https://doi.org/10.1109/icma.2009.5246315

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Publication Date: Aug 1, 2009

Citations: 17

Affiliation: Changchun University of Science and Technology

#Pulse Coupled Neural Network #Tsallis Entropy + Show 8 more

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Abstract

It needs set parameters on image segmentation based on PCNN (Pulse Coupled Neural Network) now. This paper points out the new method for medical image segmentation based on improved PCNN and Tsallis entropy. The new methods can automatically segment the medical images without selecting the PCNN parameters. It gets the best results with combining with the Tsallis entropy. The new method is very useful for PCNN application in the medical images segmentation.

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