August 18th, 2020 
Daniela Lopez de Luise Call for Papers:
Cell Detection with Deep Learning – Frontiers in Digital Health
About this Research Topic
Automated cell detection is a very important step in image analysis of cells. Given rapid advancements in microscopy technology, life-science researchers acquire big data in cell biology for breakthrough scientific discovery. However, manual analysis of high-content and high-throughput screening for quantifying and capturing cellular features at a large scale is a formidable task. Such challenge in image analysis of biological cells calls for the aid of artificial intelligence to produce fast and accurate analysis results. This research topic focuses on the use of state-of-the-art deep learning methods for cell detection. Authors are invited to submit papers that address the application of deep learning to the following areas, but not limited to
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Cell segmentation
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Cell counting
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Dynamic cell tracking
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Cell shape analysis
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Quantification of cell distribution
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Quantification of cell morphology
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Detection of organelles in single cells
Important Date
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Paper submission due: 01 October 2020
Topic Editors
Tuan D. Pham
Saudi Aramco Center for Artificial Intelligence
Prince Mohammad Bin Fahd University, Khobar, Saudi Arabia
Ran Su
School of Computer Software
College of Intelligence and Computing
Tianjin University, Tianjin, China
Changming Sun
CSIRO Data61, Sydney, Australia
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