AN EVOLUTIONARY SNAKE ALGORITHM FOR THE SEGMENTATION OF NUCLEI IN HISTOPATHOLOGICAL IMAGES (MA-L4)

Author(s) : Mohammed Ali Roula (Queen's university of Belfast, UK) Ahmed Bouridane (Queen's university of Belfast, UK) Fatih Kurugollu (Queen's university of Belfast, UK)

Abstract : This paper addresses the problem of automatic segmentation of nuclei in histopathological images. A novel method, inspired from active contour models is proposed. An evolutionary based approach, which guarantees convergence to global minimum energies has been used to solve the combinatory optimization problem of snakes. The computation complexity, often associated with evolutionary approaches, has been reduced by short cutting the natural evolution step by the mean of replacing standard mutation with an oriented stochastic mutation process. Results have shown the efficiency of this method both in terms of accuracy and fast computation.

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