Paper accepted on Computer Methods and Programs in Biomedicine

Marco S. Nobile, Associate Professor with the Ca' Foscari University of Venice, Italy

Paper accepted on Computer Methods and Programs in Biomedicine

Some time ago, we published an evolutionary method for the enhancement of histogram bimodality in medical images, named MedGA. The tool can be used to assist medical image analyses like segmentation and quantification.

We then created a framework on top of MedGA, to assist these tasks. Today, a paper about the use of such framework was accepted for publication on the journal Computer Methods and Programs in Biomedicine.

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