PirateBay Download | moon i artificial intelligence digital holographic imaging 2023

moon i artificial intelligence digital holographic imaging 2023

Type:: E-books
Files:: 1
Size:: 43.4 MB
Uploaded On:: Dec. 1, 2022, 4:34 p.m.
Added By:: andryold1
Seeders:: 3
Leechers:: 0
Info Hash:: 679CA1858E1A8223E0ECC69BE65AE5D17C927001

Textbook in PDF format Artificial Intelligence in Digital Holographic Imaging Technical Basis and Biomedical Applications An eye-opening discussion of 3D optical sensing, imaging, analysis, and pattern recognition. Artificial intelligence (AI) has made great progress in recent years. Digital holographic imaging has recently emerged as a powerful new technique well suited to explore cell structure and dynamics with a nanometric axial sensitivity and the ability to identify new cellular biomarkers. By combining digital holography with AI technology, including recent deep learning approaches, this system can achieve a record-high accuracy in non-invasive, label-free cellular phenotypic screening. It opens up a new path to data-driven diagnosis. Artificial Intelligence in Digital Holographic Imaging introduces key concepts and algorithms of AI to show how to build intelligent holographic imaging systems drawing on techniques from artificial neural networks (ANN), convolutional neural networks (CNN), and generative adversarial network (GAN). Readers will be able to gain an understanding of the basics for implementing AI in holographic imaging system designs and connecting practical biomedical questions that arise from the use of digital holography with various AI algorithms in intelligence models. What’s Inside: Introductory background on digital holography Key concepts of digital holographic imaging Deep-learning techniques for holographic imaging AI techniques in holographic image analysis Holographic image-classification models Automated phenotypic analysis of live cells Digital Holographic Imaging Coherent Optical Imaging Lateral and Depth Resolutions Phase Unwrapping Off-axis Digital Holographic Microscopy Gabor Digital Holographic Microscopy Deep Learning in Digital Holographic Microscopy (DHM) No-search Focus Prediction in DHM with Deep Learning Automated Phase Unwrapping in DHM with Deep Learning Noise-free Phase Imaging in Gabor DHM with Deep Learning Intelligent Digital Holographic Microscopy (DHM) for Biomedical Applications Red Blood Cell Phase-image Segmentation Red Blood Cell Phase-image Segmentation with Deep Learning Automated Phenotypic Classification of Red Blood Cells Automated Analysis of Red Blood Cell Storage Lesions Automated Red Blood Cell Classification with Deep Learning High-throughput Label-free Cell Counting with Deep Neural Networks Automated Tracking of Temporal Displacements of Red Blood Cells Automated Quantitative Analysis of Red Blood Cell Dynamics Quantitative Analysis of Red Blood Cells during Temperature Elevation Automated Measurement of Cardiomyocyte Dynamics with DHM Automated Analysis of Cardiomyocytes with Deep Learning Automatic Quantification of Drug-treated Cardiomyocytes with DHM Analysis of Cardiomyocytes with Holographic Image-based Tracking Conclusion and Future Work

Get This Torrent

Moon I. Artificial Intelligence in Digital Holographic Imaging...2023.pdf 43.4 MB

Details for: Moon I. Artificial Intelligence in Digital Holographic Imaging...2023

moon i artificial intelligence digital holographic imaging 2023

Similar Posts: