Cell detection method based on U-net network

Chenyang QIN; Jie YING; Haima YANG

doi:10.3969/j.issn.1005-5630.2021.01.001

Journals >Optical Instruments >Volume 43 >Issue 1 >Page 1 > Article

Optical Instruments
Vol. 43, Issue 1, 1 (2021)

Cell detection method based on U-net network

Chenyang QIN, Jie YING^*, and Haima YANG

Author Affiliations

School of Optical-Electrical and Computer Engineering, University of Shanghai for Science and Technology, Shanghai 200093, China

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DOI: 10.3969/j.issn.1005-5630.2021.01.001 Cite this Article

Chenyang QIN, Jie YING, Haima YANG. Cell detection method based on U-net network[J]. Optical Instruments, 2021, 43(1): 1 Copy Citation Text

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Abstract

In order to save time and researchers' energy, computers are used to assist in the detection of cells or nuclei. In this paper, a derivative network U-net of convolution neural network is combined with image processing to detect nucleus. The result shows that the accuracy is 0.82, the recall rate is 0.83, and the F index is 0.83, which has good recognition and segmentation effect.

Keywords

image processing neural network nuclear detection

Chenyang QIN, Jie YING, Haima YANG. Cell detection method based on U-net network[J]. Optical Instruments, 2021, 43(1): 1

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