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Inicio  /  Applied Sciences  /  Vol: 9 Par: 8 (2019)  /  Artículo
ARTÍCULO
TITULO

Medical Image Segmentation with Adjustable Computational Complexity Using Data Density Functionals

Chien-Chang Chen    
Meng-Yuan Tsai    
Ming-Ze Kao and Henry Horng-Shing Lu    

Resumen

The research work proposes an avenue of image segmentation that can simultaneously reduce computational complexity and filter image pollution for clinical investigations.

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