Machine learning and deep learning techniques for medical science / edited by K. Gayathri Devi, Kishore Balasubramanian, and Le Anh Ngoc.
| Other author | Gayathri Devi, K. G., editor. |
| Format | Electronic |
| Edition | First edition. |
| Publication | Boca Raton : CRC Press, 2022. |
| Description | 1 online resource. |
| Supplemental Content | Ebook Central |
| Subjects |
| Series | Artificial intelligence (AI): elementary to advanced practices |
| Abstract | "This book presents the integration of machine learning and deep learning algorithms that can be applied in the healthcare sector to reduce the time needed by doctors, radiologists, and other medical professionals to analyze, predict, and diagnose conditions with accurate results"-- Provided by publisher. |
| Bibliography note | Includes bibliographical references and index. |
| Biographical note | Dr. K. Gayathri Devi is a Professor at the Department of Electronics and Communication Engineering, Dr. N.G.P Institute of Technology, Tamilnadu, India. Dr Kishore Balasubramanian is an Assistant Professor (Senior Scale) in the Department of EEE at Dr. Mahalingam College of Engineering & Technology, India. Dr. Le Anh Ngoc is a Vice Dean of Electronics and Telecommunications Faculty, Electric Power University, Hanoi, Vietnam. |
| 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 techniques for medical science First edition. Boca Raton : CRC Press, 2022 9781032104201 |
| LCCN | 2021059673 |
| ISBN | 9781000583366 (epub) |
| ISBN | 1000583368 |
| ISBN | 9781003217497 (ebook) |
| ISBN | 1003217494 |
| ISBN | 9781000582529 (electronic bk. : PDF) |
| ISBN | 1000582523 (electronic bk. : PDF) |
| ISBN | (hardback) |
| ISBN | (paperback) |
| Standard identifier# | 10.1201/9781003217497 |
| Stock number | 9781003217497 Taylor & Francis |
Availability
| Library | Location | Call Number | Status | Item Actions |
|---|---|---|---|---|
| Electronic Resources | Access Content Online | ✔ Available |