Medical imaging informatics machine learning, deep learning and big data analytics / edited by Mamoon Rashid, Vishal Goyal, Ali Kashif Bashir and Saqib Hakak.
| Format | Electronic |
| Publication Info | London, United Kingdom : Institution of Engineering and Technology, 2023. |
| Description | xiv, 279 pages : illustrations ; 24 cm. |
| Supplemental Content | Full text available from IET Digital Library - Books |
| Subjects |
| Other author/creator | Rashid, Mamoon. |
| Other author/creator | Goyal, Vishal. |
| Other author/creator | Bashir, Ali Kashif, 1982- |
| Other author/creator | Hakak, Saqib. |
| Series | Healthcare technologies series ; 57 Healthcare technologies series ; 57. ^A1311833 |
| Abstract | "This edited book highlights and addresses various issues in medical imaging and provides viable solutions utilising artificial intelligence and big data tools. This book discusses techniques, algorithms, and tools which help build and develop research practices, platforms, and applications in medical image informatics. Medical image enhancement, big data analytics and artificial intelligence models are discussed with relation to applications in the detection of cancer, autism, allergies and diabetes. The design and development of internet of medical things and virtual reality tools for mental health disorders are also explored"-- Provided by publisher. |
| 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. |
| ISBN | 9781839537431 hardcover |
| ISBN | 1839537434 hardcover |
| ISBN | (PDF) |
| ISBN | (PDF) |