자료유형 | 단행본 |
---|---|
서명/저자사항 | Artificial intelligence-based infared thermal image processing and its applications / U. Snekhalatha, K. Palani Thanaraj, Kurt Ammer. |
개인저자 | Snekhalatha, U., author. Thanaraj, K. Palani, author. Ammer, Kurt, author. |
발행사항 | Boca Raton, FL: CRC Press, 2023. |
형태사항 | xvi, 230 pages : Illustrations ; 23 cm. |
기타형태 저록 | Print version: 103215814X 9781032158143 |
ISBN | 9781000688405 1000688402 9781003245780 1003245781 9781000688450 1000688453 |
기타표준부호 | 10.1201/9781003245780doi |
서지주기 | Includes bibliographical references and index. |
요약 | Infrared thermography is a fast and non-invasive technology that provides a map of the temperature distribution on the body's surface. This book provides a description of designing and developing a computer-assisted diagnosis (CAD) system based on thermography for diagnosing such common ailments as rheumatoid arthritis (RA), diabetes complications, and fever. It also introduces applications of machine-learning and deep-learning methods in the development of CAD systems. Key Features: Covers applications of various image processing techniques in thermal imaging applications for the diagnosis of different medical conditions Describes the development of a computer diagnostics system (CAD) based on thermographic data Discusses deep-learning models for accurate diagnosis of various diseases Includes new aspects in rheumatoid arthritis and diabetes research using advanced analytical tools Reviews application of feature fusion algorithms and feature reduction algorithms for accurate classification of images This book is aimed at researchers and graduate students in biomedical engineering, medicine, image processing, and CAD. |
일반주제명 | Infrared imaging --Technological innovations. Artificial intelligence --Medical applications. MEDICAL / Biotechnology SCIENCE / Physics Artificial intelligence --Medical applications. |
분류기호(DDC) | 621.3672 |
언어 | 영어 |
보존/밀집/기증 자료 신청 분관대출 서가부재도서 무인예약대출 배달서비스 소장위치출력
No. | 등록번호 | 청구기호 | 소장처 | 밀집번호 | 도서상태 | 반납예정일 | 예약 | 서비스 | 매체정보 |
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1 | 1509403 | 621.3672 S67ac | 중앙도서관[본관]/3자료실(3층)/ | 대출가능 |