Computer Vision for Microscopy Image Analysis
Chen, Mei
- 出版商: Academic Press
- 出版日期: 2020-12-04
- 售價: $4,020
- 貴賓價: 9.5 折 $3,819
- 語言: 英文
- 頁數: 350
- 裝訂: Quality Paper - also called trade paper
- ISBN: 0128149728
- ISBN-13: 9780128149720
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相關分類:
Computer Vision 電腦視覺
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商品描述
High-throughput microscopy enables researchers to acquire thousands of images automatically over a short time, making it possible to conduct large-scale, image-based experiments for biological or biomedical discovery. However, visual analysis of large-scale image data is a daunting task. The post-acquisition component of high-throughput microscopy experiments calls for effective and efficient computer vision techniques.
Computer Vision for Microscopy Image Analysis provides a comprehensive and in-depth introduction to state-of-the-art computer vision techniques for microscopy image analysis, demonstrating how they can be effectively applied to biological and medical data.
The reader of the book will learn:
- How computer vision analysis can automate and enhance human assessment of microscopy images for discovery
- The important steps in microscopy image analysis
- State-of-the-art methods for microscopy image analysis including machine learning and deep neural network approaches
This reference on the state-of-the-art computer vision methods in microscopy image analysis is suitable for researchers and graduate students interested in analyzing microscopy images or for developing toolsets for general biomedical image analysis applications.
- Each topic contains a comprehensive overview of the field, followed by in-depth presentation of a state-of-the-art approach
- Perspectives and content contributed by both technologists and biologists
- Tackles specific problems of detection, segmentation, classification, tracking, cellular event detection
- Contains the fundamentals of object measurement in microscopy images
- Contains open source data and toolsets for microscopy image analysis on an accompanying website