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06/29/2021
RCNN-SliceNet: A Slice and Cluster Approach for Nuclei Centroid Detection in Three-Dimensional Fluorescence Microscopy Images
Robust and accurate nuclei centroid detection is important for the under...
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08/09/2020
Low-Rank Reorganization via Proportional Hazards Non-negative Matrix Factorization Unveils Survival Associated Gene Clusters
One of the central goals of precision health is the understanding and in...
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09/13/2019
Center-Extraction-Based Three Dimensional Nuclei Instance Segmentation of Fluorescence Microscopy Images
Fluorescence microscopy is an essential tool for the analysis of 3D subc...
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04/19/2019
Three dimensional blind image deconvolution for fluorescence microscopy using generative adversarial networks
Due to image blurring image deconvolution is often used for studying bio...
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02/10/2018
Tubule segmentation of fluorescence microscopy images based on convolutional neural networks with inhomogeneity correction
Fluorescence microscopy has become a widely used tool for studying vario...
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01/22/2018