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Więcej informacji o Deep Learning and Convolutional Neural Networks for Medical Image Computing

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Opis

This book presents a detailed review of the state of the art in deep learning approaches for semantic object detection and segmentation in medical image computing, and large-scale radiology database mining. A particular focus is placed on the application of convolutional neural networks, with the theory supported by practical examples. Features: highlights how the use of deep neural networks can address new questions and protocols, as well as improve upon existing challenges in medical image computing; discusses the insightful research experience of Dr. Ronald M. Summers; presents a comprehensive review of the latest research and literature; describes a range of different methods that make use of deep learning for object or landmark detection tasks in 2D and 3D medical imaging; examines a varied selection of techniques for semantic segmentation using deep learning principles in medical imaging; introduces a novel approach to interleaved text and image deep mining on a large-scale radiology image database.

Szczegóły książki

Kategoria Książki po angielsku Computing & information technology Computer science Image processing

• Pełny tytuł: Deep Learning and Convolutional Neural Networks for Medical Image Computing
• Podtytuł: Precision Medicine, High Performance and Large-Scale Datasets
• Autor: Le Lu, Yefeng Zheng, Gustavo Carneiro, Lin Yang
• Język: Angielski
• Oprawa: Miękka
• Liczba stron: 326
• EAN: 9783319827131
• ID: 20118842
• Wydawca: Springer International Publishing AG
• Waga: 580 g
• Wymiary: 155 × 232 × 25 mm
• Data wydania: 12. May 2018

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