Full metadata record
| DC Field | Value | Language |
|---|---|---|
| dc.contributor.advisor | 황재윤 | - |
| dc.contributor.author | Kim, Jae Seong | - |
| dc.date.accessioned | 2022-03-07T16:00:12Z | - |
| dc.date.available | 2022-03-07T16:00:12Z | - |
| dc.date.issued | 2022 | - |
| dc.identifier.uri | http://dgist.dcollection.net/common/orgView/200000591941 | en_US |
| dc.identifier.uri | http://hdl.handle.net/20.500.11750/16274 | - |
| dc.description | Ultrasound capsule endoscope, Ultrasound imaging, Dual-frequency, Deep learning | - |
| dc.description.statementofresponsibility | N | - |
| dc.description.tableofcontents | I. Introduction 1 1.1 Motivation 1 1.2 Backgrounds 3 1.2.1 Basic principles of ultrasound 3 1.2.2 Ultrasound B-mode imaging 7 1.2.3 Image enhancement in ultrasound imaging 8 II. Materials and Methods 12 2.1 System configuration 12 2.2 Capsule design 15 2.3 Ultrasound transducer fabrication 17 2.4 Ultrasound imaging 20 2.5 Deep learning network 21 2.6 Quantitative analysis and Evaluation method 25 III. Results and Discussions 29 3.1 Evaluation of the proposed system 29 3.1.1 Penetration depth according to the center frequency 30 3.1.2 Spatial resolution 32 3.1.3 Quality improvement 33 3.1.4 Structural similarity index 36 IV. Conclusion 38 V. Reference 40 요 약 문 43 |
- |
| dc.format.extent | 43 | - |
| dc.language | eng | - |
| dc.publisher | DGIST | - |
| dc.subject | Ultrasound capsule endoscope, Ultrasound imaging, Dual-frequency, Deep learning | - |
| dc.title | Dual-frequency Capsule Type Ultrasound Endoscopic System for Deep Learning-based High-resolution In-depth Imaging | - |
| dc.type | Thesis | - |
| dc.identifier.doi | 10.22677/thesis.200000591941 | - |
| dc.description.degree | Master | - |
| dc.contributor.department | Information and Communication Engineering | - |
| dc.contributor.coadvisor | Im, Sunghoon | - |
| dc.date.awarded | 2022/02 | - |
| dc.publisher.location | Daegu | - |
| dc.description.database | dCollection | - |
| dc.citation | XT.IM 김73 202202 | - |
| dc.date.accepted | 1/21/22 | - |
| dc.contributor.alternativeDepartment | 정보통신융합전공 | - |
| dc.embargo.liftdate | 20230228 | - |
| dc.contributor.affiliatedAuthor | Kim, Jae Seong | - |
| dc.contributor.affiliatedAuthor | Hwang, Jae Youn | - |
| dc.contributor.affiliatedAuthor | Im, Sunghoon | - |
| dc.contributor.alternativeName | 김재성 | - |
| dc.contributor.alternativeName | Hwang, Jae Youn | - |
| dc.contributor.alternativeName | 임성훈 | - |
- Files in This Item:
-
There are no files associated with this item.
- Appears in Collections:
- Department of Electrical Engineering and Computer Science Theses Master
Items in Repository are protected by copyright, with all rights reserved, unless otherwise indicated.