This volume of Advances Anatomy Embryology and Cell Biology focuses on the emerging field of bio-image informatics, presenting novel and exciting ways of handling and interpreting large image data sets. A collection of focused reviews written by key players in the field highligh…
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This volume of Advances Anatomy Embryology and Cell Biology focuses on the emerging field of bio-image informatics, presenting novel and exciting ways of handling and interpreting large image data sets. A collection of focused reviews written by key players in the field highligh…
Waves generated by opportunistic or ambient noise sources and recorded by passive sensor arrays can be used to image the medium through which they travel. Spectacular results have been obtained in seismic interferometry, which open up new perspectives in acoustics, electromagnet…
This book describes the technical problems and solutions for automatically recognizing and parsing a medical image into multiple objects, structures, or anatomies. It gives all the key methods, including state-of-the-art approaches based on machine learning, for recognizing or d…
This volume explores techniques and protocols involving quantitative imaging flow cytometry (IFC), which has revolutionised our ability to analyse cells, cellular clusters and populations. Beginning with an introduction to technology, it continues with sections addressing protoc…
Exploring the 2-D gel mapping field, the chapters in this book are separated into four different categories: Part I talks about 2-D maps reproducibility and maps modeling; Part II describes the image analysis tools that provide spot volume datasets; Part III is about the statist…
Featuring self-contained chapters with a thorough literature review, this thorough reference demonstrates the application of cutting-edge machine learning techniques to medical imaging problems. --
Machine learning and medical imaging
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Featuring self-contained chapters with a thorough literature review, this thorough reference demonstrates the application of cutting-edge machine learning techniques to medical imaging problems. --
Featuring self-contained chapters with a thorough literature review, this thorough reference demonstrates the application of cutting-edge machine learning techniques to medical imaging problems. --