Machine Learning in Medicine

313 Pages·2021·9.964 MB·English

by  Ayman El-Baz, Jasjit S. Suri

Machine Learning
in  Medicine
Chapman & Hall/CRC Healthcare
Informatics Series
Series Editors:
Christopher Yang,
Drexel University, USA
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HEALTHINF
Machine Learning
in  Medicine
Edited by
Ayman El-Baz
Jasjit S. Suri
First Edition published 2021
by CRC Press
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and by CRC Press
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Library of Congress Cataloging‑in‑Publication Data
Names: El-Baz, Ayman S., editor. | Suri, Jasjit S., editor.
Title: Machine learning in medicine / edited by Ayman El-Baz, Jasjit S. Suri.
Description: First edition. | Boca Raton : CRC Press, 2021. |
Series: Chapman & Hall/CRC healthcare informatics series | Includes
bibliographical references and index.
Identifiers: LCCN 2021006004 | ISBN 9781138106901 (hardback) |
ISBN 9781032039855 (paperback) | ISBN 9781315101323 (ebook)
Subjects: LCSH: Medical informatics. | Machine learning. | Medicine—Data
processing.
Classification: LCC R858 .M32 2021 | DDC 610.285—dc23
LC record available at https://lccn.loc.gov/2021006004
ISBN: 978-1-138-10690-1 (hbk)
ISBN: 978-1-032-03985-5 (pbk)
ISBN: 978-1-315-10132-3 (ebk)
Typeset in Minion
by codeMantra
With love and affection to my mother and
father, whose loving spirit sustains me still
- Ayman El-Baz
To my late loving parents, immediate family,
and children
- Jasjit S. Suri

Contents
Preface, xi
Acknowledgements, xiii
Editors, xv
Contributors, xvii
Chapter 1 ◾ Another Set of Eyes in Anesthesiology 1
pushkar aggarwal
Chapter 2 ◾ Dermatological Machine Learning Clinical
Decision Support System 9
pushkar aggarwal
Chapter 3 ◾ V ision and AI 19
Mohini Bindal and pushkar aggarwal
Chapter 4 ◾ T hermal Dose Modeling for Thermal
Ablative Cancer Treatments by Cellular
Neural Networks 27
Jinao Zhang, sunita Chauhan, wa Cheung,
and stuart k. roBerts
Chapter 5 ◾ Ensembles of Convolutional Neural Networks
with Different Activation Functions for Small
to Medium-Sized Biomedical Datasets 55
Filippo Berno, loris nanni, gianluCa Maguolo,
and sheryl BrahnaM
vii
viii ◾ Contents
Chapter 6 ◾ Analysis of Structural MRI Data for Epilepsy
Diagnosis Using Machine Learning Techniques 77
seyedMohaMMad shaMs, esMaeil davoodi-BoJd,
and haMid soltanian-Zadeh
Chapter 7 ◾ Artificial Intelligence-Powered Ultrasound for
Diagnosis and Improving Clinical Workflow 109
Zeynettin akkus
Chapter 8 ◾ Machine Learning for E/MEG-Based
Identification of Alzheimer’s Disease 133
su yang, giriJesh prasad, kongFatt wong-lin,
and Jose sanCheZ-Bornot
Chapter 9 ◾ Some Practical Challenges with Possible
Solutions for Machine Learning in Medical
Imaging 147
naiMul khan, naBila aBrahaM, anika taBassuM, and MarCia hon
Chapter 10 ◾ D etection of Abnormal Activities Stemming
from Cognitive Decline Using Deep Learning 165
daMla ariFoglu and aBdelhaMid BouChaChia
Chapter 11 ◾ Classification of Left Ventricular Hypertrophy
and NAFLD through Decision Tree Algorithm 193
arnulFo gonZáleZ-Cantú, Maria elena roMero-iBarguengoitia,
and Baidya nath saha
Chapter 12 ◾ The Cutting Edge of Surgical Practice:
Applications of Machine Learning to
Neurosurgery 207
oMar khan, Jetan h. Badhiwala, MuhaMMad ali akBar,
and MiChael g. Fehlings
Contents ◾ ix
Chapter 13 ◾ A Novel MRA-Based Framework for the
Detection of Cerebrovascular Changes and
Correlation to Blood Pressure 225
ingy el-torgoMan, ahMed soliMan, ali MahMoud,
ahMed shalaBy, MohaMMed ghaZal, guruprasad giridharan,
JasJit s. suri, and ayMan el-BaZ
Chapter 14 ◾ Early Classification of Renal Rejection Types:
A Deep Learning Approach 257
MohaMed shehata, FahMi khaliFa, ahMed soliMan,
shaMs shaker, ahMed shalaBy, MaryaM el-BaZ, ali MahMoud,
MohaMed aBou el-ghar, MohaMMed ghaZal,
aMy C. dwyer, JasJit s. suri, and ayMan el-BaZ
INDEX, 281