The book sheds light on medical cyber-physical systems while
addressing image processing, microscopy, security, biomedical
imaging, automation, robotics, network layers’ issues, software
design, and biometrics, among other areas. Hence, solving the
dimensionality conundrum caused by the necessity to balance data
acquisition, image modalities, different resolutions, dissimilar
picture representations, subspace decompositions, compressed
sensing, and communications constraints. Lighter computational
implementations can circumvent the heavy computational burden of
healthcare processing applications. Soft computing, metaheuristic,
and deep learning ascend as potential solutions to efficient
super-resolution deployment. The amount of multi-resolution and
multi-modal images has been augmenting the need for more efficient
and intelligent analyses, e.g., computer-aided diagnosis via
computational intelligence techniques. This book consolidates the
work on artificial intelligence methods and clever design paradigms
for healthcare to foster research and implementations in many
domains. It will serve researchers, technology professionals,
academia, and students working in the area of the latest advances
and upcoming technologies employing smart systems’ design
practices and computational intelligence tactics for medical usage.
The book explores deep learning practices within particularly
difficult computational types of health problems. It aspires to
provide an assortment of novel research works that focuses on the
broad challenges of designing better healthcare services.
General
| Imprint: |
Taylor & Francis
|
| Country of origin: |
United Kingdom |
| Release date: |
August 2023 |
| Editors: |
Vania V. Estrela
|
| Dimensions: |
234 x 156mm (L x W) |
| Pages: |
388 |
| ISBN-13: |
978-1-03-205272-4 |
| Categories: |
Books
Promotions
|
| LSN: |
1-03-205272-4 |
| Barcode: |
9781032052724 |
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