Abstract:This paper presents a new algorithm for object recognition in medical microscopic images, assisted by a cellular neural network (CNN). The CNN flowchart and its component parts are described based on successions of interconnections templates. The experiments results are shown and they appear to be promising. Our results sustain the usability of CNN as a real time processing tool for assisting the medical act.
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