Handbook of deep learning in biomedical engineering: techniques and applications

by Balas, Valentina Emilia Kumar, Raghvendra Mishra, Brojo Kishore

Type Book

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Title Statements

Full title :Handbook of deep learning in biomedical engineering : techniques and applications / edited by Valentina E. Balas, Brojo Kishore Mishra, Raghvendra Kumar.

Edition Statements

Publication Date:2020.

Publication Statements

Publisher(s):Academic Press
Place of Publication:Amsterdam
Language:eng
Publication Date:2020.

The Physical Object

Description:1 online resource : illustrations (black and white, and colour)

Edition Identifiers

ISBN:9780128230473, 0128230479
oclc:on1225529690
Dewey Decimal:610.285631

Front Cover -- HANDBOOK OF DEEP LEARNING IN BIOMEDICAL ENGINEERING -- HANDBOOK OF DEEP LEARNING IN BIOMEDICAL ENGINEERING -- Copyright -- Contents -- Contributors -- About the editors -- Preface -- Key features -- About the book -- 1 -- Congruence of deep learning in biomedical engineering: future prospects and challenges -- 1. Introduction -- 1.1 SqueezeNet (image classification) -- 1.1.1 Strategies of architectural design -- 2. Fire module -- 3. Background study -- 3.1 Need of security -- 3.1.1 Types of security methods -- 3.1.1.1 Steganography -- 3.1.1.2 Watermarking -- 3.1.1.3 Cryptography

3.2 Advantages of steganography over cryptography -- 3.2.1 Resolution of steganography -- 3.2.2 Types of steganography -- 3.2.3 Image steganography -- 3.2.4 Image steganography method -- 3.3 Steganography techniques -- 3.3.1 Spatial domain technique -- 3.3.1.1 Least significant bit technique -- 3.3.2 Transform domain technique -- 3.4 Advantages of transform domain over spatial domain -- 3.5 Related study -- 3.5.1 DWT based -- 3.5.2 IWT based -- 3.6 Advantages of IWT over DWT -- 4. Study of various types of model -- 5. Proposed method by the authors -- 5.1 2D Haar wavelet transform

5.2 Huff…

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