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Springer Deep Learning for Biomedical Data Analysis Book

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Description

Deep Learning for Biomedical Data Analysis: Techniques, Approaches, and Applications by Springer provides a comprehensive overview of deep learning (DL) within the biomedical field. As the first overview of its kind, this book surveys recent techniques and approaches, offering both broad coverage and the depth required for working professionals. It delivers fundamental and technical information regarding these methods and their related problems without overwhelming the reader. By presenting results from the latest investigations, this text serves as a practical resource for understanding how deep learning applies to the most important challenges in biomedical data analysis.

Key Features

This Springer publication serves as the first overview focused on Deep Learning for biomedical data analysis.

The text surveys recent techniques and approaches to provide practical use for working professionals.

It offers a balance of fundamental and technical information without overcrowding the reader.

Readers can access the results of the latest investigations in the field of deep learning for biomedical data.

The content covers important techniques and approaches related to biomedical data analysis problems.

Product Specifications

Format
paperback
Domain
Amazon UK
Release Date
15 July 2022
Listed Since
17 June 2022

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No barcode data available

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