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Computer vision for microscopy image analysis /
Are you a computer scientist working on image analysis? Are you a biologist seeking tools to process the microscopy data from image-based experiments? Computer Vision for Microscopy Image Analysis provides a comprehensive and in-depth discussion of modern computer vision techniques, in particular de...
| Clasificación: | Libro Electrónico |
|---|---|
| Otros Autores: | |
| Formato: | Electrónico eBook |
| Idioma: | Inglés |
| Publicado: |
Amsterdam :
Academic Press,
2021.
|
| Colección: | Computer vision and pattern recognition series.
|
| Temas: | |
| Acceso en línea: | Texto completo |
MARC
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| 003 | OCoLC | ||
| 005 | 20231120010527.0 | ||
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| 008 | 200818s2021 ne o 000 0 eng d | ||
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| 015 | |a GBC0D6034 |2 bnb | ||
| 016 | 7 | |a 019930294 |2 Uk | |
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| 020 | |a 9780128149737 |q (electronic bk.) | ||
| 020 | |z 9780128149720 |q (pbk.) | ||
| 035 | |a (OCoLC)1230926529 | ||
| 050 | 4 | |a QH207 |b .C66 2021 | |
| 082 | 0 | 4 | |a 502.820285637 |2 23 |
| 245 | 0 | 0 | |a Computer vision for microscopy image analysis / |c edited by Mei Chen. |
| 264 | 1 | |a Amsterdam : |b Academic Press, |c 2021. | |
| 300 | |a 1 online resource | ||
| 336 | |a text |b txt |2 rdacontent | ||
| 337 | |a computer |b c |2 rdamedia | ||
| 338 | |a online resource |b cr |2 rdacarrier | ||
| 490 | 1 | |a Computer vision and pattern recognition | |
| 520 | |a Are you a computer scientist working on image analysis? Are you a biologist seeking tools to process the microscopy data from image-based experiments? Computer Vision for Microscopy Image Analysis provides a comprehensive and in-depth discussion of modern computer vision techniques, in particular deep learning, for microscopy image analysis that will advance your efforts. Progress in imaging techniques has enabled the acquisition of large volumes of microscopy data and made it possible to conduct large-scale, image-based experiments for biomedical discovery. The main challenge and bottleneck in such experiments is the conversion of "big visual data" into interpretable information. Visual analysis of large-scale microscopy data is a daunting task. Computer vision has the potential to automate this task. One key advantage is that computers perform analysis more reproducibly and less subjectively than human annotators. Moreover, high-throughput microscopy calls for effective and efficient techniques as there are not enough human resources to advance science by manual annotation. This book articulates the strong need for biologists and computer vision experts to collaborate to overcome the limits of human visual perception, and devotes a chapter each to the major steps in analyzing microscopy images, such as detection and segmentation, classification, tracking, and event detection | ||
| 650 | 0 | |a Microscopy |x Data processing. | |
| 650 | 0 | |a Computer vision. | |
| 650 | 6 | |a Microscopie |0 (CaQQLa)201-0055735 |x Informatique. |0 (CaQQLa)201-0380011 | |
| 650 | 6 | |a Vision par ordinateur. |0 (CaQQLa)201-0074889 | |
| 650 | 7 | |a Computer vision |2 fast |0 (OCoLC)fst00872687 | |
| 650 | 7 | |a Microscopy |x Data processing |2 fast |0 (OCoLC)fst01020063 | |
| 700 | 1 | |a Chen, Mei |c (Computer scientist), |e editor. | |
| 776 | 0 | 8 | |i Print version: |z 9780128149720 |
| 830 | 0 | |a Computer vision and pattern recognition series. | |
| 856 | 4 | 0 | |u https://sciencedirect.uam.elogim.com/science/book/9780128149720 |z Texto completo |