상세정보
Export to Refworks부가기능
High-Throughput Biomedical Image Computing for Digital Health
상세 프로파일
| 자료유형 | 학위논문 |
|---|---|
| 서명/저자사항 | High-Throughput Biomedical Image Computing for Digital Health. |
| 개인저자 | Xing, Fuyong. |
| 단체저자명 | University of Florida. |
| 발행사항 | [S.l.]: University of Florida., 2017. |
| 발행사항 | Ann Arbor: ProQuest Dissertations & Theses, 2017. |
| 형태사항 | 114 p. |
| 기본자료 저록 | Dissertation Abstracts International 79-11B(E). Dissertation Abstract International |
| ISBN | 9780438122376 |
| 학위논문주기 | Thesis (Ph.D.)--University of Florida, 2017. |
| 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 |
| 바로가기 | 
: 이 자료의 원문은 한국교육학술정보원에서 제공합니다. |
