| Chapter title |
Focus on Bio-Image Informatics
|
|---|---|
| Chapter number | 10 |
| Book title |
Focus on Bio-Image Informatics
|
| Published in |
Advances in anatomy embryology and cell biology, May 2016
|
| DOI | 10.1007/978-3-319-28549-8_10 |
| Pubmed ID | |
| Book ISBNs |
978-3-31-928547-4, 978-3-31-928549-8
|
| Authors |
Peng, Hanchuan, Zhou, Jie, Zhou, Zhi, Bria, Alessandro, Li, Yujie, Kleissas, Dean Mark, Drenkow, Nathan G, Long, Brian, Liu, Xiaoxiao, Chen, Hanbo, Hanchuan Peng, Jie Zhou, Zhi Zhou, Alessandro Bria, Yujie Li, Dean Mark Kleissas, Nathan G. Drenkow, Brian Long, Xiaoxiao Liu, Hanbo Chen |
| Editors |
Winnok H. De Vos, Sebastian Munck, Jean-Pierre Timmermans |
| Abstract |
Bioimage informatics is a field wherein high-throughput image informatics methods are used to solve challenging scientific problems related to biology and medicine. When the image datasets become larger and more complicated, many conventional image analysis approaches are no longer applicable. Here, we discuss two critical challenges of large-scale bioimage informatics applications, namely, data accessibility and adaptive data analysis. We highlight case studies to show that these challenges can be tackled based on distributed image computing as well as machine learning of image examples in a multidimensional environment. |
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Mendeley readers
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| Other | 4 | 10% |
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| Student > Bachelor | 2 | 5% |
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| Unknown | 7 | 17% |
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