Nuclei Detection for 3D Microscopy With a Fully Convolutional Regression Network

Nuclei Detection for 3D Microscopy With a Fully Convolutional Regression Network

Advances in three-dimensional microscopy and tissue clearing are enabling whole-organ imaging with single-cell resolution. Fast and reliable image processing tools are needed to analyze the resulting image volumes, including automated cell detection, cell counting and cell analytics. Deep learning a...

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Bibliographic Details
Main Authors: Maryse Lapierre-Landry, Zexuan Liu, Shan Ling, Mahdi Bayat, David L. Wilson, Michael W. Jenkins
Format: Article
Language:English
Published: IEEE 2021-01-01
Series:IEEE Access
Subjects:
3D microscopy
cell detection
cell segmentation
centroid detection
deep learning
regression
Online Access:https://ieeexplore.ieee.org/document/9406585/

Internet

https://ieeexplore.ieee.org/document/9406585/

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