Machine learning in medicine / edited by Ayman El-Baz, Jasjit S. Suri.
| Other author | El-Baz, Ayman S. |
| Other author | Suri, Jasjit S. |
| Format | Electronic |
| Edition | First edition. |
| Publication Info | Boca Raton : CRC Press, Taylor & Francis Group, 2021. |
| Description | xx, 291 pages : illustrations ; 25 cm. |
| Supplemental Content | Full text available from Taylor & Francis eBooks |
| Subjects |
| Series | Chapman & Hall/CRC healthcare informatics series |
| Abstract | "Machine Learning in Medicine covers the state-of-the-art techniques of machine learning and their applications in the medical field. It presents several Computer-aided diagnosis (CAD) systems, which have played an important role in the diagnosis of several diseases in the past decade e.g., cancer detection, resulting in the development of several successful systems. This book will help to advance scientific research within the broad field of machine learning in the medical field. The book focuses on major trends and challenges in this area, and it presents work aimed at identifying new techniques and their use in biomedical analysis, including extensive references at the end of each chapter"-- Provided by publisher. |
| General note | "A Chapman & Hall book." |
| Bibliography note | Includes bibliographical references and index. |
| Access restriction | Available only to authorized users. |
| Technical details | Mode of access: World Wide Web |
| Genre/form | Electronic books. |
| LCCN | 2021006004 |
| ISBN | 9781138106901 (hardback) |
| ISBN | 9781032039855 (paperback) |
| ISBN | (ebook) |
Availability
| Library | Location | Call Number | Status | Item Actions |
|---|---|---|---|---|
| Electronic Resources | Access Content Online | ✔ Available |