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EFFICIENT NEURON SEGMENTATION AND MORPHOLOGICAL ANALYSIS USING SVM-KNN CLASSIFIER
2021
Journal of Engineering & Technological Advances
A novel method of neuron segmentation in image volumes attained by microscopy is a proposed model. Like agglomerative or correlation clustering, existing methods relay solely on boundary signs and have problems where such a piece of evidence is lacking (e.g., incomplete staining) or ambiguous (e.g., co-located cell and mitochondria membranes). This paper investigates these complications through sparse region appearance cues distinguish between pre-and postsynaptic neuron segments in neural
doi:10.35934/segi.v6i2.9
fatcat:et2f4b6m2vclpgb3pwoifibszq