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Automated Deformable Mapping Methods to Relate Corresponding Lesions in 3D X-Ray and 3D Ultrasound Breast Images
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| 자료유형 | 학위논문 |
|---|---|
| 서명/저자사항 | Automated Deformable Mapping Methods to Relate Corresponding Lesions in 3D X-Ray and 3D Ultrasound Breast Images. |
| 개인저자 | Green, Crystal Ann. |
| 단체저자명 | University of Michigan. Nuclear Engineering & Radiological Sciences. |
| 발행사항 | [S.l.]: University of Michigan., 2019. |
| 발행사항 | Ann Arbor: ProQuest Dissertations & Theses, 2019. |
| 형태사항 | 239 p. |
| 기본자료 저록 | Dissertations Abstracts International 81-05B. Dissertation Abstract International |
| ISBN | 9781687935151 |
| 학위논문주기 | Thesis (Ph.D.)--University of Michigan, 2019. |
| 일반주기 |
Source: Dissertations Abstracts International, Volume: 81-05, Section: B.
Advisor: Bielajew, Alex F. |
| 이용제한사항 | This item must not be sold to any third party vendors.This item must not be added to any third party search indexes. |
| 요약 | 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 |
| 일반주제명 | Nuclear engineering. Medical imaging. Biomechanics. |
| 언어 | 영어 |
| 바로가기 | 
: 이 자료의 원문은 한국교육학술정보원에서 제공합니다. |
