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.
General
| Imprint: |
Academic Press Inc
|
| Country of origin: |
United States |
| Series: |
Computer Vision and Pattern Recognition |
| Release date: |
December 2020 |
| First published: |
2021 |
| Editors: |
Mei Chen
|
| Dimensions: |
234 x 191 x 20mm (L x W x T) |
| Format: |
Paperback
|
| Pages: |
228 |
| ISBN-13: |
978-0-12-814972-0 |
| Categories: |
Books
Promotions
|
| LSN: |
0-12-814972-8 |
| Barcode: |
9780128149720 |
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