Deep Learning for Cancer Diagnosis

Buch | Softcover

300 Seiten

2021 | 1st ed. 2021
Springer Verlag, Singapore
978-981-15-6323-2 (ISBN)

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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.

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.

Deep Learning for Enhancing Cancer Diagnosis.- Improved Deep Learning Techniques for Better Cancer Diagnosis.- Deep Learning for Diagnosing Rare Cancer Types.- Deep Learning for Histopathological Diagnosis.- Effective Use of Deep Learning and Image Processing for Cancer Diagnosis

Erscheinungsdatum	17.09.2021
Reihe/Serie	Studies in Computational Intelligence ; 908
Zusatzinfo	87 Illustrations, color; 31 Illustrations, black and white; XIX, 300 p. 118 illus., 87 illus. in color.
Verlagsort	Singapore
Sprache	englisch
Maße	155 x 235 mm
Themenwelt	Informatik ► Theorie / Studium ► Künstliche Intelligenz / Robotik
	Medizin / Pharmazie ► Medizinische Fachgebiete ► Onkologie
	Technik
Schlagworte	Artificial Intelligence • Autoencoder Networks • Brain tumours • Computational Neural Networks (CNN) • Early detection-diagnosis • Histopathological diagnosis • Long short-term memory (LSTM) • machine learning • Medical data analyses • Medical Diagnosis • Medical Image Processing • Prostate Cancer
ISBN-10	981-15-6323-3 / 9811563233
ISBN-13	978-981-15-6323-2 / 9789811563232
Zustand	Neuware