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Brain Tumor MRI Image Segmentation Using Deep Learning Techniques

Name: Brain Tumor MRI Image Segmentation Using Deep Learning Techniques
Brand: Elsevier Science & Technology
SKU: 9780323911719
Price: 71427 HUF
Availability: InStock

Szerző: Jyotismita Chaki

Nyelv:

Kötés: Puha kötésű

Kiadó: Elsevier Science & Technology

Elérhetőség: Beszállítói készleten

Küldés 10-18 napon belül

71 427 Ft

Brain Tumor MRI Image Segmentation Using Deep Learning Techniques offers a description of deep learn...

Információk a könyvről

Szerző

Jyotismita Chaki

Nyelv

Angol

Kötés

Könyv - Puha kötésű

Kiadva

2021

oldal

258

EAN

9780323911719

Enbook ID

36958993

Kiadó

Elsevier Science & Technology

Súly

542

Méretek

191 x 234 x 20

Teljes leírás

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. Provides readers with an understanding of deep learning-based approaches in the field of brain tumor segmentation, including preprocessing techniques Integrates recent advancements in the field, including the transformation of low-resolution brain tumor images into super-resolution images using deep learning-based methods, single path Convolutional Neural Network based brain tumor segmentation, and much more Includes coverage of Long Short-Term Memory (LSTM) based Recurrent Neural Network (RNN), Gated Recurrent Units (GRU) based Recurrent Neural Network (RNN), Generative Adversarial Networks (GAN), Auto Encoder based brain tumor segmentation, and Ensemble deep learning Model based brain tumor segmentation Covers research Issues and the future of deep learning-based brain tumor segmentation