Distributed Implementations of Cell Nuclei Detection Algorithm

Abstract: One of the most promising methods for cell nuclei detection in colon tissue images is region growing, but it has several limitations. The process is slow to the extent that practical use seems almost impossible since the segmentation of large images that contain many nuclei may require up to 40-60 minutes to complete. However, the method is very promising, it offers very good accuracy; therefore, it is definitely worth dealing with this drawback. However, we have tried to speed up the process based on distributed execution using some novel techniques: a naive implementation, a compatible synchronized version, and an implementation based on the split-and merge technique. This paper presents the “compatible synchronized implementation ” in detail. Key–Words: medical image segmentation, cell nuclei detection, HE stained colon tissue, distributed algorithm