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- W4312836719 abstract "Synapses are the special connection structure between brain neurons, and they are the core element of brain plasticity and information transmission. In order to better understand the process of brain information transmission, it is necessary to quantitatively calculate the synapse, but the automatic identification of a large range of synaptic images is still a difficult problem. According to the characteristics of synaptic signal in microscopy optical mouse brain images, this paper proposes the automatic fast synapse recognition method based on density peak clustering, which solves the identification problem of dense small synaptic signal, and realizes the rapid synapse positioning and counting in a large brain area. The results show that the proposed methods in accuracy and efficiency bring great convenience to the researchers." @default.
- W4312836719 created "2023-01-05" @default.
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- W4312836719 date "2022-09-23" @default.
- W4312836719 modified "2023-10-16" @default.
- W4312836719 title "An Automatic Method for Fast Synaptic Signal Detection and Count" @default.
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- W4312836719 doi "https://doi.org/10.1145/3565291.3565320" @default.
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