Cross-Domain Nuclei Detection in Histopathology Images Using Graph-Based Nuclei Feature Alignment
Author:
Affiliation:
1. School of Information Science and Technology, University of Science and Technology of China, Hefei, China
2. Department of Pathology, School of Basic Medicine, Anhui Medical University, Hefei, China
Funder
National Natural Science Foundation of China
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Subject
Health Information Management,Electrical and Electronic Engineering,Computer Science Applications,Health Informatics
Link
http://xplorestaging.ieee.org/ielx7/6221020/10380963/10138372.pdf?arnumber=10138372
Reference34 articles.
1. Stacked Sparse Autoencoder (SSAE) for Nuclei Detection on Breast Cancer Histopathology Images
2. Locality Sensitive Deep Learning for Detection and Classification of Nuclei in Routine Colon Cancer Histology Images
3. Signet Ring Cell Detection with a Semi-supervised Learning Framework
4. Beyond Classification: Structured Regression for Robust Cell Detection Using Convolutional Neural Network
5. Efficient and robust cell detection: A structured regression approach
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