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Artificial Intelligence and Machine Learning for Healthcare

Overview of attention for book
Cover of 'Artificial Intelligence and Machine Learning for Healthcare'

Table of Contents

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    Book Overview
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    Chapter 1 An Introduction to Artificial Intelligence in Healthcare
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    Chapter 2 Radiomics: Approach to Precision Medicine
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    Chapter 3 Artificial Intelligence Based Strategies for Data-Driven Radial MRI
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    Chapter 4 Unsupervised Domain Adaptation Approach for Liver Tumor Detection in Multi-phase CT Images
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    Chapter 5 Multi-stage Synthetic Image Generation for the Semantic Segmentation of Medical Images
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    Chapter 6 Classification of Arrhythmia Signals Using Hybrid Convolutional Neural Network (CNN) Model
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    Chapter 7 Polyp Segmentation with Deep Ensembles and Data Augmentation
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    Chapter 8 Autistic Verbal Behavior Parameters
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    Chapter 9 Advances in Modelling Hospital Medical Wards
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    Chapter 10 Tracking Person-Centred Care Experiences Alongside Other Success Measures in Hearing Rehabilitation
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    Chapter 11 BioGNN: How Graph Neural Networks Can Solve Biological Problems
Attention for Chapter 2: Radiomics: Approach to Precision Medicine
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Readers on

mendeley
5 Mendeley
Summary
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Chapter title
Radiomics: Approach to Precision Medicine
Chapter number 2
Book title
Artificial Intelligence and Machine Learning for Healthcare
Published by
Springer, Cham, January 2023
DOI 10.1007/978-3-031-11154-9_2
Book ISBNs
978-3-03-111153-2, 978-3-03-111154-9
Authors

Jin, Ze, Yuan, Taiguang, Tokuda, Yukiko, Naoi, Yasuto, Tomiyama, Noriyuki, Suzuki, Kenji

View on publisher site
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 5 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 5 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 1 20%
Unknown 4 80%
Readers by discipline Count As %
Medicine and Dentistry 1 20%
Unknown 4 80%

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