| LDR | | 02324nam u200493 4500 |
| 001 | | 000000418679 |
| 005 | | 20190215163048 |
| 008 | | 181129s2018 |||||||||||||||||c||eng d |
| 020 | |
▼a 9780438343542 |
| 035 | |
▼a (MiAaPQ)AAI10845306 |
| 035 | |
▼a (MiAaPQ)cornellgrad:10992 |
| 040 | |
▼a MiAaPQ
▼c MiAaPQ
▼d 247004 |
| 082 | 0 |
▼a 621.3 |
| 100 | 1 |
▼a Liu, Shuang. |
| 245 | 10 |
▼a Automated Analysis of Quantitative Image Biomarkers from Low-Dose Chest CT Scans. |
| 260 | |
▼a [S.l.]:
▼b Cornell University.,
▼c 2018. |
| 260 | 1 |
▼a Ann Arbor:
▼b ProQuest Dissertations & Theses,
▼c 2018. |
| 300 | |
▼a 170 p. |
| 500 | |
▼a Source: Dissertation Abstracts International, Volume: 80-01(E), Section: B. |
| 500 | |
▼a Adviser: Anthony P. Reeves. |
| 502 | 1 |
▼a Thesis (Ph.D.)--Cornell University, 2018. |
| 520 | |
▼a A quantitative imaging biomarker is a quantitatively measured characteristic derived from medical images, which serves as cost-effective and noninvasive tools for patient health assessment, including diagnosis and periodic screening of disease, |
| 520 | |
▼a This dissertation presents an automated framework for quantitative image biomarker measurement and evaluation from the low-dose chest CT (LDCT) scans that are acquired during the annual lung cancer screening. Four categories of quantitative imag |
| 520 | |
▼a In conclusion, with the recent large-scale implementation of annual lung cancer screening in the US using LDCT, great potential emerges for the concurrent extraction of quantitative image biomarkers from different regions in the chest, which are |
| 590 | |
▼a School code: 0058. |
| 650 | 4 |
▼a Computer engineering. |
| 650 | 4 |
▼a Computer science. |
| 650 | 4 |
▼a Electrical engineering. |
| 650 | 4 |
▼a Artificial intelligence. |
| 650 | 4 |
▼a Medical imaging. |
| 690 | |
▼a 0464 |
| 690 | |
▼a 0984 |
| 690 | |
▼a 0544 |
| 690 | |
▼a 0800 |
| 690 | |
▼a 0574 |
| 710 | 20 |
▼a Cornell University.
▼b Electrical & Computer Engineering. |
| 773 | 0 |
▼t Dissertation Abstracts International
▼g 80-01B(E). |
| 773 | |
▼t Dissertation Abstract International |
| 790 | |
▼a 0058 |
| 791 | |
▼a Ph.D. |
| 792 | |
▼a 2018 |
| 793 | |
▼a English |
| 856 | 40 |
▼u http://www.riss.kr/pdu/ddodLink.do?id=T15000052
▼n KERIS
▼z 이 자료의 원문은 한국교육학술정보원에서 제공합니다. |
| 980 | |
▼a 201812
▼f 2019 |
| 990 | |
▼a ***1012033 |