Deep Learning-based Algorithms for Nucleus Segmentation: An Overview
Author:
Affiliation:
1. Beijing Aerospace Wanyuan Science & Technology Co., Ltd.,Beijing,China,100176
2. Beijing JiaoTong University,Beijing,China,100044
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10491598/10491601/10491626.pdf?arnumber=10491626
Reference30 articles.
1. Deep models for brain EM image segmentation: novel insights and improved performance
2. U-Net: Convolutional Networks for Biomedical Image Segmentation
3. Boundary-to-Marker Evidence-Controlled Segmentation and MDL-Based Contour Inference for Overlapping Nuclei
4. Deep Learning Automates the Quantitative Analysis of Individual Cells in Live-Cell Imaging Experiments
5. Semi-supervised training of deep convolutional neural networks with heterogeneous data and few local annotations: An experiment on prostate histopathology image classification
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