Brain Tumor MRI Image Segmentation Using Deep Learning Techniques
offers a description of deep learning approaches used for the
segmentation of brain tumors. The book demonstrates core concepts
of deep learning algorithms by using diagrams, data tables and
examples to illustrate brain tumor segmentation. After introducing
basic concepts of deep learning-based brain tumor segmentation,
sections cover techniques for modeling, segmentation and
properties. A focus is placed on the application of different types
of convolutional neural networks, like single path, multi path,
fully convolutional network, cascade convolutional neural networks,
Long Short-Term Memory - Recurrent Neural Network and Gated
Recurrent Units, and more. The book also highlights how the use of
deep neural networks can address new questions and protocols, as
well as improve upon existing challenges in brain tumor
segmentation.
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