How Long to Read Machine Learning for Tomographic Imaging

How Long Does it Take to Read Machine Learning for Tomographic Imaging?

It takes the average reader to read Machine Learning for Tomographic Imaging by Ge Wang

Assuming a reading speed of 250 words per minute. Learn more

Description

The area of machine learning, especially deep learning, has exploded in recent years, producing advances in everything from speech recognition and gaming to drug discovery. Tomographic imaging is another major area that is being transformed by machine learning, and its potential to revolutionise medical imaging is highly significant. Written by active researchers in the field, Machine Learning for Tomographic Imaging presents a unified overview of deep-learning-based tomographic imaging. Key concepts, including classic reconstruction ideas and human vision inspired insights, are introduced as a foundation for a thorough examination of artificial neural networks and deep tomographic reconstruction. X-ray CT and MRI reconstruction methods are covered in detail, and other medical imaging applications are discussed as well. An engaging and accessible style makes this book an ideal introduction for those in applied disciplines, as well as those in more theoretical disciplines who wish to learn about application contexts. Hands-on projects are also suggested, and links to open source software, working datasets, and network models are included. Part of Series in Physics and Engineering in Medicine and Biology.

How long is Machine Learning for Tomographic Imaging?

Machine Learning for Tomographic Imaging by Ge Wang is 0 pages long, and a total of 0 words.

This makes it 0% the length of the average book. It also has 0% more words than the average book.

How Long Does it Take to Read Machine Learning for Tomographic Imaging Aloud?

The average oral reading speed is 183 words per minute. This means it takes to read Machine Learning for Tomographic Imaging aloud.

What Reading Level is Machine Learning for Tomographic Imaging?

Machine Learning for Tomographic Imaging is suitable for students ages 2 and up.

Note that there may be other factors that effect this rating besides length that are not factored in on this page. This may include things like complex language or sensitive topics not suitable for students of certain ages.

When deciding what to show young students always use your best judgement and consult a professional.

Where Can I Buy Machine Learning for Tomographic Imaging?

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