Artificial Intelligence in Cancer Diagnosis and Prognosis, Volume 2

Breast and bladder cancer

Edited by Ayman El-Baz, Jasjit Suri

Publication date:

14 October 2022

Length of book:

380 pages

Publisher

Institute Of Physics Publishing

Dimensions:

254x178mm
7x10"

ISBN-13: 9780750335973

Within this second 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, with a single book project(s). Therefore, the purpose of this three volume work and particularly for this second volume dealing with breast and bladder cancer, is to present a compendium of these findings related to these two pervasive cancers. Many of the chapter authors are world class researchers in these technologies. 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.