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Books > Medicine > Other branches of medicine > Medical imaging
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Deep Learning Models for Medical Imaging (Paperback)
Loot Price: R2,175
Discovery Miles 21 750
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Deep Learning Models for Medical Imaging (Paperback)
Series: Primers in Biomedical Imaging Devices and Systems
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Deep Learning Models for Medical Imaging explains the concepts of
Deep Learning (DL) and its importance in medical imaging and/or
healthcare using two different case studies: a) cytology image
analysis and b) coronavirus (COVID-19) prediction, screening, and
decision-making, using publicly available datasets in their
respective experiments. Of many DL models, custom Convolutional
Neural Network (CNN), ResNet, InceptionNet and DenseNet are used.
The results follow 'with' and 'without' transfer learning
(including different optimization solutions), in addition to the
use of data augmentation and ensemble networks. DL models for
medical imaging are suitable for a wide range of readers starting
from early career research scholars, professors/scientists to
industrialists.
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