Imaging Sensors and Applications
In past decades, various sensor technologies have been used in all areas of our lives, thus improving our quality of life. In particular, imaging sensors have been widely applied in the development of various imaging approaches such as optical imaging, ultrasound imaging, X-ray imaging, and nuclear...
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| Sonstige: | |
| Year of Publication: | 2021 |
| Language: | English |
| Physical Description: | 1 electronic resource (350 p.) |
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| 100 | 1 | |a Lee, Changho |4 edt | |
| 245 | 1 | 0 | |a Imaging Sensors and Applications |
| 260 | |a Basel, Switzerland |b MDPI - Multidisciplinary Digital Publishing Institute |c 2021 | ||
| 300 | |a 1 electronic resource (350 p.) | ||
| 336 | |a text |b txt |2 rdacontent | ||
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| 520 | |a In past decades, various sensor technologies have been used in all areas of our lives, thus improving our quality of life. In particular, imaging sensors have been widely applied in the development of various imaging approaches such as optical imaging, ultrasound imaging, X-ray imaging, and nuclear imaging, and contributed to achieve high sensitivity, miniaturization, and real-time imaging. These advanced image sensing technologies play an important role not only in the medical field but also in the industrial field. This Special Issue covers broad topics on imaging sensors and applications. The scope range of imaging sensors can be extended to novel imaging sensors and diverse imaging systems, including hardware and software advancements. Additionally, biomedical and nondestructive sensing applications are welcome. | ||
| 546 | |a English | ||
| 650 | 7 | |a Technology: general issues |2 bicssc | |
| 653 | |a fluorescence LiDAR | ||
| 653 | |a laser-induced fluorescence | ||
| 653 | |a vegetation monitoring | ||
| 653 | |a classification discrimination | ||
| 653 | |a 3D measurement | ||
| 653 | |a fringe projection | ||
| 653 | |a 3D Fourier transform | ||
| 653 | |a phase unwrapping | ||
| 653 | |a phase measurement | ||
| 653 | |a ultrasound | ||
| 653 | |a photoacoustic imaging | ||
| 653 | |a photoacoustic microscopy | ||
| 653 | |a biomedical imaging | ||
| 653 | |a multifocal point transducer | ||
| 653 | |a wave patterns | ||
| 653 | |a analytical model | ||
| 653 | |a directivity pattern | ||
| 653 | |a guided wave (GW) | ||
| 653 | |a non-destructive testing (NDT) | ||
| 653 | |a macro-fiber composite (MFC) | ||
| 653 | |a transducer | ||
| 653 | |a elastography | ||
| 653 | |a soft tissue | ||
| 653 | |a nonlinearity | ||
| 653 | |a viscoelasticity | ||
| 653 | |a acoustic emission | ||
| 653 | |a hydrogel | ||
| 653 | |a nanosilica | ||
| 653 | |a transcranial | ||
| 653 | |a skull bone | ||
| 653 | |a aberration | ||
| 653 | |a photoacoustic | ||
| 653 | |a distortion | ||
| 653 | |a brain imaging | ||
| 653 | |a balloon catheter | ||
| 653 | |a image guiding | ||
| 653 | |a medical diagnostic imaging | ||
| 653 | |a ultrasonic imaging | ||
| 653 | |a abdominal ultrasound | ||
| 653 | |a plane wave imaging | ||
| 653 | |a diverging wave imaging | ||
| 653 | |a synthetic focusing | ||
| 653 | |a back muscle stiffness | ||
| 653 | |a spine | ||
| 653 | |a elasticity | ||
| 653 | |a shear-wave elastography (SWE) | ||
| 653 | |a tissue ultrasound palpation system (TUPS) | ||
| 653 | |a reliability | ||
| 653 | |a Young's modulus | ||
| 653 | |a carfilzomib | ||
| 653 | |a peripheral vasculature | ||
| 653 | |a quantitative analysis | ||
| 653 | |a transrectal probe | ||
| 653 | |a optical lens | ||
| 653 | |a ultrasound imaging | ||
| 653 | |a prostate cancer | ||
| 653 | |a optical coherence tomography | ||
| 653 | |a quad-scanner scanning strategy | ||
| 653 | |a whole-directional scanning | ||
| 653 | |a full-directional imaging | ||
| 653 | |a IoT | ||
| 653 | |a remote control | ||
| 653 | |a remote operation | ||
| 653 | |a remote sharing economy | ||
| 653 | |a research equipment sharing | ||
| 653 | |a two-photon laser scanning microscopy | ||
| 653 | |a MQTT | ||
| 653 | |a deep learning | ||
| 653 | |a ensemble learning | ||
| 653 | |a brain tumor classification | ||
| 653 | |a machine learning | ||
| 653 | |a transfer learning | ||
| 653 | |a around view monitoring system | ||
| 653 | |a automatic camera calibration | ||
| 653 | |a vision-based advanced driver assistance systems | ||
| 653 | |a high-frequency ultrasound | ||
| 653 | |a ophthalmic imaging | ||
| 653 | |a synthetic aperture | ||
| 653 | |a convex array transducer | ||
| 653 | |a bandwidth expander | ||
| 653 | |a ultrasound transducer device | ||
| 653 | |a power amplifier | ||
| 653 | |a super-resolution | ||
| 653 | |a clinical applications | ||
| 776 | |z 3-0365-2604-8 | ||
| 776 | |z 3-0365-2605-6 | ||
| 700 | 1 | |a Yoon, Changhan |4 edt | |
| 700 | 1 | |a Lee, Changho |4 oth | |
| 700 | 1 | |a Yoon, Changhan |4 oth | |
| 906 | |a BOOK | ||
| ADM | |b 2023-12-15 05:53:43 Europe/Vienna |f system |c marc21 |a 2022-04-04 09:22:53 Europe/Vienna |g false | ||
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