TY - BOOK ID - 103607695 TI - Brain tumor MRI image segmentation using deep learning techniques PY - 2022 SN - 0323911714 0323983952 9780323983952 9780323911719 PB - London, England ; San Diego, California : Elsevier, DB - UniCat KW - Brain KW - Tumors KW - Diagnosis. KW - Magnetic resonance imaging. KW - Brain Neoplasms KW - Magnetic Resonance Imaging KW - Image Interpretation, Computer-Assisted KW - Image Processing, Computer-Assisted KW - Deep Learning KW - diagnostic imaging KW - Magnetic Resonance Imaging. KW - Image Interpretation, Computer-Assisted. KW - Image Processing, Computer-Assisted. KW - Deep Learning. KW - diagnostic imaging. UR - https://www.unicat.be/uniCat?func=search&query=sysid:103607695 AB - 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. ER -