Artificial Intelligence in Cancer Diagnosis and Prognosis, Volume 3: Brain and prostate cancer

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Ayman El-Baz (University of Lousiville, USA) Jasjit Suri (The American Institute for Medical and Biological Engineering, USA)

Artificial Intelligence in Cancer Diagnosis and Prognosis, Volume 3

Brain and prostate cancer

Ayman El-Baz (University of Lousiville, USA), Jasjit Suri (The American Institute for Medical and Biological Engineering, USA)

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English

Institute of Physics Publishing
14 October 2022

Technology, Engineering & Agriculture; Computing & IT; Health & Self-Help

Series: IOP ebooks

Within this third volume dealing with breast and bladder cancer, the editors and authors will detail the latest research related to the application of AI to cancer diagnosis and prognosis and summarize its advantages. It’s the editors and authors intention to explore how AI assists in these activities, specifically with regard to its unprecedented accuracy, which is even higher than that of general statistical applications in oncology. Ways will also be demonstrated as to how these methods in AI are advancing the field.

There have been thousands of papers written between 1995 and 2019 related to AI for cancer diagnosis and prognosis. However, to this date (and unknown to the Editors) there has not yet been published a comprehensive overview of the latest findings pertaining to these AI technologies, within a single book project(s). Therefore, the purpose of this three volume work and particularly for this third volume dealing with brain and bladder cancer, is to present a compendium of these findings related to these two pervasive cancers. Within this coverage it’s our hope that scientists, researchers and clinicians can successfully incorporate these techniques into other significant cancers such as pancreatic, esophageal, leukemia, melanoma, etc.

Edited by: Ayman El-Baz (University of Lousiville USA), Jasjit Suri (The American Institute for Medical and Biological Engineering, USA)
Imprint: Institute of Physics Publishing
Country of Publication: United Kingdom
Dimensions: Height: 254mm, Width: 178mm, Spine: 17mm
ISBN: 9780750336017
ISBN 10: 0750336013
Series: IOP ebooks
Pages: 304
Publication Date: 14 October 2022
Audience: Professional and scholarly , Undergraduate
Format: Hardback
Publisher's Status: Active

Ayman El-Baz is Chair, Department of Bioengineering at the University of Louisville and a Distinguished Scholar. Dr. El-Baz earned his B.Sc. and M.Sc. degrees in electrical engineering in 1997 and 2001, respectively. He earned his Ph.D. in electrical engineering from the University of Louisville in 2006. Dr. El-Baz was named as a Fellow for Coulter, AIMBE and NAI for his contributions to the field of biomedical translational research. Dr. El-Baz has almost two decades of hands-on experience in the fields of bio-imaging modeling and non-invasive computer-assisted diagnosis systems. He has authored or co-authored more than 500 technical articles (182 journals, 44 books, 95 book chapters, 253 refereed-conference papers, 215 abstracts, and 38 US patents and Disclosures). Jasjit S. Suri is an innovator, scientist, visionary, industrialist and an internationally known world leader in biomedical engineering. Dr. Suri has spent over 25 years in the field of biomedical engineering/devices and its management. He received his Ph.D. from the University of Washington, Seattle and his Business Management Sciences degree from Case Western Reserve University, Cleveland, Ohio. Dr. Suri received the President’s Gold medal in 1980 and made Fellow of the American Institute of Medical and Biological Engineering for his outstanding contributions. In 2018, he was awarded the Marquis Life Time Achievement Award for his outstanding contributions and dedication to medical imaging and its management .