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001000000434964
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008200131s2019 ||||||||||||||||| ||eng d
020 ▼a 9781687935151
035 ▼a (MiAaPQ)AAI27536299
035 ▼a (MiAaPQ)umichrackham002176
040 ▼a MiAaPQ ▼c MiAaPQ ▼d 247004
0820 ▼a 620.8
1001 ▼a Green, Crystal Ann.
24510 ▼a Automated Deformable Mapping Methods to Relate Corresponding Lesions in 3D X-Ray and 3D Ultrasound Breast Images.
260 ▼a [S.l.]: ▼b University of Michigan., ▼c 2019.
260 1 ▼a Ann Arbor: ▼b ProQuest Dissertations & Theses, ▼c 2019.
300 ▼a 239 p.
500 ▼a Source: Dissertations Abstracts International, Volume: 81-05, Section: B.
500 ▼a Advisor: Bielajew, Alex F.
5021 ▼a Thesis (Ph.D.)--University of Michigan, 2019.
506 ▼a This item must not be sold to any third party vendors.
506 ▼a This item must not be added to any third party search indexes.
520 ▼a Mammography is the current standard imaging method for detecting breast cancer by using x-rays to produce 2D images of the breast. However, with mammography alone there is difficulty determining whether a lesion is benign or malignant and reduced sensitivity to detecting lesions in dense breasts. Ultrasound imaging used in conjunction with mammography has shown valuable contributions for lesion characterization by differentiating between solid and cystic lesions. Conventional breast ultrasound has high false positive rates
590 ▼a School code: 0127.
650 4 ▼a Nuclear engineering.
650 4 ▼a Medical imaging.
650 4 ▼a Biomechanics.
690 ▼a 0552
690 ▼a 0648
690 ▼a 0574
71020 ▼a University of Michigan. ▼b Nuclear Engineering & Radiological Sciences.
7730 ▼t Dissertations Abstracts International ▼g 81-05B.
773 ▼t Dissertation Abstract International
790 ▼a 0127
791 ▼a Ph.D.
792 ▼a 2019
793 ▼a English
85640 ▼u http://www.riss.kr/pdu/ddodLink.do?id=T15494248 ▼n KERIS ▼z 이 자료의 원문은 한국교육학술정보원에서 제공합니다.
980 ▼a 202002 ▼f 2020
990 ▼a ***1008102
991 ▼a E-BOOK