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CRC Press Machine Learning for Medical Image Recognition Book

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Description

Explore the intersection of artificial intelligence and healthcare with Machine Learning and Deep Learning Techniques for Medical Image Recognition. Part of the Advances in Smart Healthcare Technologies series, this book provides a comprehensive review of deep learning-based algorithms designed for medical image analysis and processing. Readers will find detailed information on deep learning approaches used for semantic object detection and segmentation within medical image computing. The text also covers large-scale radiology database mining, providing a technical foundation for understanding how automated systems can assist in clinical settings. By focusing on the application of convolutional neural networks, this resource explains the theory and varied selection of techniques used for semantic segmentation. It is a valuable resource for those studying the implementation of deep learning principles to improve medical imaging accuracy and efficiency.

Key Features

Covers deep learning-based algorithms specifically for medical image analysis and processing problems.

Provides a detailed review of approaches for semantic object detection and segmentation in medical computing.

Includes information on large-scale radiology database mining techniques.

Focuses on the practical application of convolutional neural networks in medical imaging.

Explains the theory and selection of techniques for semantic segmentation using deep learning principles.

Product Specifications

Format
hardcover
Domain
Amazon UK
Release Date
01 December 2023
Listed Since
10 June 2023

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