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High-Throughput Biomedical Image Computing for Digital Health
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| 자료유형 | E-Book |
|---|---|
| 개인저자 | Xing, Fuyong. |
| 단체저자명 | University of Florida. |
| 서명/저자사항 | High-Throughput Biomedical Image Computing for Digital Health. |
| 발행사항 | [S.l.] : University of Florida., 2017 |
| 발행사항 | Ann Arbor : ProQuest Dissertations & Theses, 2017 |
| 형태사항 | 114 p. |
| 소장본 주기 | School code: 0070. |
| ISBN | 9780438122376 |
| 일반주기 |
Source: Dissertation Abstracts International, Volume: 79-11(E), Section: B.
Adviser: Lin Yang. |
| 요약 | In biomedical informatics, a large amount of image data has been collected to support clinical diagnosis, treatment decision, and medical prognosis. The large volume and the diversity of informatics across different imaging modalities require ad |
| 요약 | In this dissertation, we will describe a high-throughput biomedical image computing framework for digital health, focusing on two important topics: object detection and segmentation as well as their applications, image understanding, in medical |
| 일반주제명 | Computer engineering. Computer science. |
| 언어 | 영어 |
| 기본자료 저록 | Dissertation Abstracts International79-11B(E). Dissertation Abstract International |
| 대출바로가기 | http://www.riss.kr/pdu/ddodLink.do?id=T15000422 |
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인쇄
| No. | 등록번호 | 청구기호 | 소장처 | 도서상태 | 반납예정일 | 예약 | 서비스 | 매체정보 |
|---|---|---|---|---|---|---|---|---|
| 1 | WE00025096 | 621.3 | 가야대학교// | 대출가능 |
|
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