LDR | | 01950nam u200637 4500 |
001 | | 000000482054 |
005 | | 20230213145519 |
008 | | 230117s2022 |||||||||||||||||c||eng d |
020 | |
▼a 9798835540891 |
035 | |
▼a (MiAaPQ)AAI29176534 |
040 | |
▼a MiAaPQ
▼c MiAaPQ
▼d 247004 |
082 | 0 |
▼a 616 |
100 | 1 |
▼a Rister, Blaine Burton. |
245 | 10 |
▼a Automated Longitudinal Assessment of CT Cancer Lesions. |
260 | |
▼a [S.l.]:
▼b Stanford University.,
▼c 2022. |
260 | 1 |
▼a Ann Arbor:
▼b ProQuest Dissertations & Theses,
▼c 2022. |
300 | |
▼a 120 p. |
500 | |
▼a Source: Dissertations Abstracts International, Volume: 84-01, Section: B. |
500 | |
▼a Advisor: Rubin, Daniel;Duchi, John;Horowitz, Mark. |
502 | 1 |
▼a Thesis (Ph.D.)--Stanford University, 2022. |
506 | |
▼a This item must not be sold to any third party vendors. |
590 | |
▼a School code: 0212. |
650 | 4 |
▼a Cancer. |
650 | 4 |
▼a Tomography. |
650 | 4 |
▼a Deep learning. |
650 | 4 |
▼a Clinical medicine. |
650 | 4 |
▼a Liver. |
650 | 4 |
▼a Neural networks. |
650 | 4 |
▼a Medical research. |
650 | 4 |
▼a Clinical trials. |
650 | 4 |
▼a Registration. |
650 | 4 |
▼a Annotations. |
650 | 4 |
▼a Tumors. |
650 | 4 |
▼a Performance evaluation. |
650 | 4 |
▼a Reproducibility. |
650 | 4 |
▼a Morphology. |
650 | 4 |
▼a Artificial intelligence. |
650 | 4 |
▼a Biology. |
650 | 4 |
▼a Medical imaging. |
650 | 4 |
▼a Medicine. |
650 | 4 |
▼a Pharmacology. |
690 | |
▼a 0287 |
690 | |
▼a 0800 |
690 | |
▼a 0306 |
690 | |
▼a 0574 |
690 | |
▼a 0564 |
690 | |
▼a 0419 |
710 | 20 |
▼a Stanford University. |
773 | 0 |
▼t Dissertations Abstracts International
▼g 84-01B. |
773 | |
▼t Dissertation Abstract International |
790 | |
▼a 0212 |
791 | |
▼a Ph.D. |
792 | |
▼a 2022 |
793 | |
▼a English |
856 | 40 |
▼u http://www.riss.kr/pdu/ddodLink.do?id=T16616931
▼n KERIS
▼z 이 자료의 원문은 한국교육학술정보원에서 제공합니다. |
980 | |
▼a 202302
▼f 2023 |
990 | |
▼a ***1012033 |
991 | |
▼a E-BOOK |