3D cell nuclei segmentation based on gradient flow tracking


Reliable segmentation of cell nuclei from three dimensional (3D) microscopic images is an important task in many biological studies. We present a novel, fully automated method for the segmentation of cell nuclei from 3D microscopic images. It was designed specifically to segment nuclei in images where the nuclei are closely juxtaposed or touching each other… (More)
DOI: 10.1186/1471-2121-8-40


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