A Fully Automatic Method for Gridding Bright Field Images of Bead-Based Microarrays-Reference-Cited by-同舟云学术

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A Fully Automatic Method for Gridding Bright Field Images of Bead-Based Microarrays

Published:2016-07 Issue:4 Volume:20 Page:1148-1159
ISSN:2168-2194
Container-title:IEEE Journal of Biomedical and Health Informatics
language:
Short-container-title:IEEE J. Biomed. Health Inform.

Author:

Datta Abhik,Wai-Kin Kong Adams,Yow Kin-Choong

Funder

Ministry of Education - Singapore

Academic Research Fund Tier 1

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Health Information Management,Electrical and Electronic Engineering,Computer Science Applications,Biotechnology

Link

http://xplorestaging.ieee.org/ielx7/6221020/7505456/07112075.pdf?arnumber=7112075

Cited by 4 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. A Barcode-Array Biochip Sensor Analysis System Based on Geometry-Guide Learning;IEEE Sensors Journal;2024-04-01

2. Efficient GPU-based Gridding and Segmentation of Microarray Images via K-Means and Fuzzy C-Means;2023 International Conference on Data Science, Agents & Artificial Intelligence (ICDSAAI);2023-12-21

3. Automatic gridding of noisy microarray images based on coefficient of variation;Informatics in Medicine Unlocked;2019

4. An Automated and Efficient Approach for Spot Identification of Microarray Images Using X-Covariance;Proceedings of International Conference on Cognition and Recognition;2017-09-27

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