Brain tumor MRI image segmentation using deep learning techniques /

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 segmenta...

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Bibliographic Details
Corporate Author: ScienceDirect (Online service)
Other Authors: Chaki, Jyotismita (Editor)
Format: eBook
Language:English
Published: Amsterdam : Academic Press, 2021.
Subjects:
Online Access:Connect to the full text of this electronic book
Description
Summary: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.
Physical Description:1 online resource
ISBN:9780323983952
0323983952
9780323911719
0323911714