Biomedical Imaging Advances in Artificial Intelligence and Machine Learning /
This book presents the rapidly developing field of artificial intelligence and machine learning and its application in biomedical imaging. As is known, starting from the diagnosis of fractures by using X-rays to understanding the complex structure and function of the brain, biomedical imaging has co...
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| 企业作者: | |
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| 其他作者: | , |
| 格式: | 电子 电子书 |
| 语言: | 英语 |
| 出版: |
Singapore :
Springer Nature Singapore : Imprint: Springer,
2024.
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| 版: | 1st ed. 2024. |
| 丛编: | Biological and Medical Physics, Biomedical Engineering,
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| 主题: | |
| 在线阅读: | https://doi.org/10.1007/978-981-97-5345-1 |
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书本目录:
- Artificial intelligence (AI) in diagnostic medical image processing: Recent advances and challenges
- Introduction to machine learning
- Artificial intelligence in Raman spectroscopy and microscopy
- Machine learning based analysis in Biomedical applications
- Applications of support vector machine in polarization sensitive fluorescence spectroscopy in biophotonics research
- Tissue optical clearing and machine learning based analysis
- Machine learning based photoacoustic image analysis for cancer diagnosis
- Diffuse optical imaging and spectroscopy as a non-invasive diagnostic tool
- Machine learning in nonlinear optical microscopy
- Deep learning in quantitative phase imaging
- Deep learning in super resolution microcopy
- Machine learning based analysis in Stokes Mueller Polarization light applications
- Polarization resolved second harmonic generation for tissue imaging
- Light microscopy in endoscopy
- Deep learning-based algorithm applied to multiphoton microscopy
- Cross polarization optical coherence tomography applications in brain research
- Machine learning applications in brain research
- Recent trends in survival prediction of malignant brain tumour patients.