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Machine Learning in Medical Imaging and Computer Vision
Loot Price: R3,151
Discovery Miles 31 510
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Machine Learning in Medical Imaging and Computer Vision
Series: Healthcare Technologies
Expected to ship within 10 - 15 working days
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Medical images can highlight differences between healthy tissue and
unhealthy tissue and these images can then be assessed by a
healthcare professional to identify the stage and spread of a
disease so a treatment path can be established. With machine
learning techniques becoming more prevalent in healthcare,
algorithms can be trained to identify healthy or unhealthy tissues
and quickly differentiate between the two. Statistical models can
be used to process numerous images of the same type in a fraction
of the time it would take a human to assess the same quantity,
saving time and money in aiding practitioners in their assessment.
The book discusses feature extraction processes, reviews deep
learning methods for medical segmentation tasks, outlines
optimisation algorithms and regularisation techniques, illustrates
image classification and retrieval systems, and highlights text
recognition tools, game theory, and the detection of misinformation
for improving healthcare provision. This edited book provides state
of the art research on the integration of new and emerging
technologies for the medical imaging processing and analysis
fields. This book outlines future directions for increasing the
efficiency of conventional imaging models to achieve better
performance in diagnoses as well as in the characterization of
complex pathological conditions. The book is aimed at a readership
of researchers and scientists in both academia and industry in
computer science and engineering, machine learning, image
processing, and healthcare technologies and those in related
fields.
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