Deep Learning for Cancer Diagnosis by Kose, Utku

Deep Learning for Cancer Diagnosis (Hardcover) (ISBN-13: 9789811563201)

Vendor: Utku Kose
Product type: Books
Format: Hardcover
$159.99
$159.99
$159.99
Subtotal: $159.99
Deep Learning for Cancer Diagnosis by Kose, Utku

Deep Learning for Cancer Diagnosis

$159.99
Deep Learning for Cancer Diagnosis by Kose, Utku

Deep Learning for Cancer Diagnosis

$159.99
Format: Hardcover
Description
Description
x
This book explores various applications of deep learning to the diagnosis of cancer, while also outlining the future face of deep learning-assisted cancer diagnostics. As is commonly known, artificial intelligence has paved the way for countless new solutions in the field of medicine. In this context, deep learning is a recent and remarkable sub-field, which can effectively cope with huge amounts of data and deliver more accurate results. As a vital research area, medical diagnosis is among those in which deep learning-oriented solutions are often employed.
Accordingly, the objective of this book is to highlight recent advanced applications of deep learning for diagnosing different types of cancer. The target audience includes scientists, experts, MSc and PhD students, postdocs, and anyone interested in the subjects discussed. The book can be used as a reference work to support courses on artificial intelligence, medical and biomedicaleducation.


Author: Utku Kose
ISBN-10: 9811563209
ISBN-13: 9789811563201
Publisher: Springer
Language: English
Published: 09/13/2020
Pages: 300
Format: Hardcover
Weight: 1.38lbs
Size: 9.21h x 6.14w x 0.75d
By Utku Kose
By Utku Kose
x

Utku Kose received his Ph. D. degree in 2017 from Selcuk University, Turkey in the field of computer engineering. Currently, he is an Associate Professor in Suleyman Demirel University, Turkey. He has more than 100 publications to his credit. His research interests include artificial intelligence, machine ethics, artificial intelligence safety, optimization, the chaos theory, distance education, e-learning, computer education, and computer science.

Jafar Alzubi received his PhD in Advanced Telecommunications Engineering from Swansea University, UK, in 2012. He is currently an associate professor at the Computer Engineering Dept., Al-Balqa Applied University, Jordan. His research focuses on Elliptic curves cryptography and cryptosystems, classifications and detection of web scams, using Algebraic-Geometric theory in channel coding for wireless networks. He is currently working jointly with Wake Forest University, NC-USA as a visiting associate professor.​

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