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Brain tumor mri image segmentation using deep learning techniques, 


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Цена: 154960.00T
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Склад Америка: 269 шт.  
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Ориентировочная дата поставки: Август-начало Сентября
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Название:  Brain tumor mri image segmentation using deep learning techniques
ISBN: 9780323911719
Издательство: Elsevier Science
Классификация:
ISBN-10: 0323911714
Обложка/Формат: Paperback
Страницы: 258
Вес: 0.45 кг.
Дата издания: 01.11.2021
Язык: English
Иллюстрации: 60 illustrations (40 in full color); illustrations, unspecified
Размер: 23.50 x 19.05 x 1.40 cm
Читательская аудитория: Professional & vocational
Ссылка на Издательство: Link
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Поставляется из: Европейский союз
Описание:

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.



Deformable Meshes for Medical Image Segmentation

Автор: Dagmar Kainmueller
Название: Deformable Meshes for Medical Image Segmentation
ISBN: 3658070145 ISBN-13(EAN): 9783658070144
Издательство: Springer
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Цена: 60940.00 T
Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: ГЇВїВЅ Segmentation of anatomical structures in medical image data is an essential task in clinical practice. As for practical contributions, she proposes application-specific segmentation pipelines for a range of anatomical structures, together with thorough evaluations of segmentation accuracy on clinical image data.

Level Set Method in Medical Imaging Segmentation

Автор: Ayman El-Baz, Jasjit S. Suri
Название: Level Set Method in Medical Imaging Segmentation
ISBN: 113855345X ISBN-13(EAN): 9781138553453
Издательство: Taylor&Francis
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Цена: 224570.00 T
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Описание: Level set methods are numerical techniques which offer remarkably powerful tools for understanding, analyzing, and computing interface motion in a host of settings. When used for medical imaging analysis and segmentation, the function assigns a label to each pixel or voxel and optimality is defined based on desired imaging properties. This often includes a detection step to extract specific objects via segmentation. This allows for the segmentation and analysis problem to be formulated and solved in a principled way based on well-established mathematical theories. Level set method is a great tool for modeling time varying medical images and enhancement of numerical computations.

Biomedical Image Segmentation

Название: Biomedical Image Segmentation
ISBN: 036787086X ISBN-13(EAN): 9780367870867
Издательство: Taylor&Francis
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Цена: 117390.00 T
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Описание: As one of the most important tasks in biomedical imaging, image segmentation provides the foundation for quantitative reasoning and diagnostic techniques. A large variety of different imaging techniques, each with its own physical principle and characteristics (e.g., noise modeling), often requires modality-specific algorithmic treatment. In rec

Segmentation of Hand Bone for Bone Age Assessment

Автор: Yan Chai Hum
Название: Segmentation of Hand Bone for Bone Age Assessment
ISBN: 9814451657 ISBN-13(EAN): 9789814451659
Издательство: Springer
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Цена: 65290.00 T
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Описание: The objective of this Brief is to provide a solution to the unsolved technical problem in segmentation for the automated bone age assessment system. It is followed by a novel fuzzy quadruple division scheme to optimize the central segmentation algorithm, and then an additional quality assurance scheme.

Multi Modality State-of-the-Art Medical Image Segmentation and Registration Methodologies

Автор: Ayman S. El-Baz; Rajendra Acharya U; Majid Mirmehd
Название: Multi Modality State-of-the-Art Medical Image Segmentation and Registration Methodologies
ISBN: 1489978135 ISBN-13(EAN): 9781489978134
Издательство: Springer
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Цена: 191550.00 T
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Описание: Advances in image-guided cancer surgery have enlarged the role of image segmentation and registration. This book reviews current methodologies, to help physicians delineate anatomical structures, enhance the accuracy of diagnosis and improve treatment planning.

Reconstruction, Segmentation, and Analysis of Medical Images

Автор: Maria A. Zuluaga; Kanwal Bhatia; Bernhard Kainz; M
Название: Reconstruction, Segmentation, and Analysis of Medical Images
ISBN: 3319522795 ISBN-13(EAN): 9783319522791
Издательство: Springer
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Цена: 46570.00 T
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Описание: Registration.- Reconstruction.- Deep learning for heart segmentation.- Discrete optimization and probabilistic intensity modeling.- Atlas-based strategies.- Random forests.


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