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Advancing Segmentation and Classification Methods in Magnetic Resonance Imaging via Artificial Intelligence.
Advancing Segmentation and Classification Methods in Magnetic Resonance Imaging via Artificial Intelligence.
상세정보
- 자료유형
- 학위논문
- Control Number
- 0016617578
- International Standard Book Number
- 9798819370537
- Dewey Decimal Classification Number
- 574.191
- Main Entry-Personal Name
- Liu, Yongkai.
- Publication, Distribution, etc. (Imprint
- [S.l.] : University of California, Los Angeles., 2022
- Publication, Distribution, etc. (Imprint
- Ann Arbor : ProQuest Dissertations & Theses, 2022
- Physical Description
- 152 p.
- General Note
- Source: Dissertations Abstracts International, Volume: 83-12, Section: B.
- General Note
- Advisor: Sung, Kyunghyun.
- Dissertation Note
- Thesis (Ph.D.)--University of California, Los Angeles, 2022.
- Restrictions on Access Note
- This item must not be sold to any third party vendors.
- Subject Added Entry-Topical Term
- Biophysics.
- Subject Added Entry-Topical Term
- Artificial intelligence.
- Subject Added Entry-Topical Term
- Medical imaging.
- Subject Added Entry-Topical Term
- Information science.
- Index Term-Uncontrolled
- Classification performance
- Index Term-Uncontrolled
- Magnetic Resonance Imaging
- Index Term-Uncontrolled
- Segmentation
- Index Term-Uncontrolled
- Artificial Intelligence
- Index Term-Uncontrolled
- Deep learning
- Added Entry-Corporate Name
- University of California, Los Angeles Physics and Biology in Medicine 009Y
- Host Item Entry
- Dissertations Abstracts International. 83-12B.
- Host Item Entry
- Dissertation Abstract International
- Electronic Location and Access
- 로그인을 한후 보실 수 있는 자료입니다.
- Control Number
- joongbu:623636
MARC
008230216s2022 ulk 00 kor■001000016617578
■00520230206105113
■020 ▼a9798819370537
■035 ▼a(MiAaPQ)AAI29215317
■040 ▼aMiAaPQ▼cMiAaPQ
■0820 ▼a574.191
■1001 ▼aLiu, Yongkai.
■24510▼aAdvancing Segmentation and Classification Methods in Magnetic Resonance Imaging via Artificial Intelligence.
■260 ▼a[S.l.]▼bUniversity of California, Los Angeles. ▼c2022
■260 1▼aAnn Arbor▼bProQuest Dissertations & Theses▼c2022
■300 ▼a152 p.
■500 ▼aSource: Dissertations Abstracts International, Volume: 83-12, Section: B.
■500 ▼aAdvisor: Sung, Kyunghyun.
■5021 ▼aThesis (Ph.D.)--University of California, Los Angeles, 2022.
■506 ▼aThis item must not be sold to any third party vendors.
■590 ▼aSchool code: 0031.
■650 4▼aBiophysics.
■650 4▼aArtificial intelligence.
■650 4▼aMedical imaging.
■650 4▼aInformation science.
■653 ▼aClassification performance
■653 ▼aMagnetic Resonance Imaging
■653 ▼aSegmentation
■653 ▼aArtificial Intelligence
■653 ▼aDeep learning
■690 ▼a0786
■690 ▼a0800
■690 ▼a0574
■690 ▼a0723
■71020▼aUniversity of California, Los Angeles▼bPhysics and Biology in Medicine 009Y.
■7730 ▼tDissertations Abstracts International▼g83-12B.
■773 ▼tDissertation Abstract International
■790 ▼a0031
■791 ▼aPh.D.
■792 ▼a2022
■793 ▼aEnglish
■85640▼uhttp://www.riss.kr/pdu/ddodLink.do?id=T16617578▼nKERIS▼z이 자료의 원문은 한국교육학술정보원에서 제공합니다.
■980 ▼a202302▼f2023
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