Gradients and Active Contour Models for Localization of Cell Membrane in HER2/neu Images

The paper presents an application of the snake model to recognition of the cell membrane in the HER2 breast and kidney cancer images. It applies the modified snake to build the system recognizing the membrane and associating it with the neighboring cell. We study different forms of gradient estimation, the core point in the snake model. The particle swarm optimization algorithm is used in tuning the parameters of the snake model. On the basis of the applied procedure the estimation of the membrane continuity of cell is made. The experimental results performed on 100 cells in breast and 100 cells in kidney cancers have shown high accuracy of the membrane localizations and acceptable agreement with the expert estimations.

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