Machine learning and deep learning in neuroimaging data analysis / edited by Anitha S. Pillai and Bindu Menon.
| Other author | Pillai, Anitha S., 1967- editor. |
| Other author | Menon, Bindu, editor. |
| Format | Electronic |
| Edition | First edition. |
| Publication | Boca Raton : CRC Press/Taylor & Francis Group, 2024. |
| Description | 1 online resource |
| Supplemental Content | Ebook Central |
| Subjects |
| Abstract | "Machine Learning (ML) and Deep Learning (DL) have become essential tools in healthcare. They are capable of processing enormous amounts of data to find patterns and are also adopted into methods that manage and make sense of healthcare data, either electronic healthcare records or medical imagery. This book explores how ML/DL can assist neurologists in identifying, classifying or predicting neurological problems that require neuroimaging. With the ability to model high dimensional datasets, supervised learning algorithms can help in relating brain images to behavioral or clinical observations and unsupervised learning can uncover hidden structures/patterns in images. Bringing together both AI experts as well as medical practitioners, chapters cover the majority of neuro problems that use neuroimaging for diagnosis, along with case studies and directions for future research"-- Provided by publisher. |
| Bibliography note | Includes bibliographical references. |
| Source of description | Description based on print version record and CIP data provided by publisher. |
| Issued in other form | Print version : Machine learning and deep learning in neuroimaging data analysis First edition. Boca Raton : CRC Press/Taylor & Francis Group, 2024 9781032190686 |
| LCCN | 2023034285 |
| ISBN | 9781003264767 (ebk) |
| ISBN | 100326476X |
| ISBN | (hbk) |
| ISBN | (pbk) |
Availability
| Library | Location | Call Number | Status | Item Actions |
|---|---|---|---|---|
| Electronic Resources | Access Content Online | ✔ Available |