Books > Medicine > Nursing & ancillary services > Biomedical engineering
|
Buy Now
Deep Learners and Deep Learner Descriptors for Medical Applications (Hardcover, 1st ed. 2020)
Loot Price: R2,991
Discovery Miles 29 910
|
|
Deep Learners and Deep Learner Descriptors for Medical Applications (Hardcover, 1st ed. 2020)
Series: Intelligent Systems Reference Library, 186
Expected to ship within 10 - 15 working days
|
This book introduces readers to the current trends in using deep
learners and deep learner descriptors for medical applications. It
reviews the recent literature and presents a variety of medical
image and sound applications to illustrate the five major ways deep
learners can be utilized: 1) by training a deep learner from
scratch (chapters provide tips for handling imbalances and other
problems with the medical data); 2) by implementing transfer
learning from a pre-trained deep learner and extracting deep
features for different CNN layers that can be fed into simpler
classifiers, such as the support vector machine; 3) by fine-tuning
one or more pre-trained deep learners on an unrelated dataset so
that they are able to identify novel medical datasets; 4) by fusing
different deep learner architectures; and 5) by combining the above
methods to generate a variety of more elaborate ensembles. This
book is a value resource for anyone involved in engineering deep
learners for medical applications as well as to those interested in
learning more about the current techniques in this exciting field.
A number of chapters provide source code that can be used to
investigate topics further or to kick-start new projects.
General
Is the information for this product incomplete, wrong or inappropriate?
Let us know about it.
Does this product have an incorrect or missing image?
Send us a new image.
Is this product missing categories?
Add more categories.
Review This Product
No reviews yet - be the first to create one!
|
|
Email address subscribed successfully.
A activation email has been sent to you.
Please click the link in that email to activate your subscription.