Provides a method for the segmentation and classification of 3D datasets in biological development. Generic 3D segmentation and classification in biological development is a software that builds his nuclei segmentation approach by learning from samples supplied by the user for the existing objects in image. This ImageJ plugin is based on the adaptive generic iterative thresholding algorithm (AGITA).
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