| 000 | 03793nam a22005535i 4500 | ||
|---|---|---|---|
| 001 | 978-981-99-1839-3 | ||
| 003 | DE-He213 | ||
| 005 | 20250704152953.0 | ||
| 007 | cr nn 008mamaa | ||
| 008 | 230615s2023 si | s |||| 0|eng d | ||
| 020 | _a9789819918393 | ||
| 024 | 7 |
_a10.1007/978-981-99-1839-3 _2doi |
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| 040 | _cMN-UlUST | ||
| 050 | 4 | _aTA342-343 | |
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_a003.3 _223 |
| 245 | 1 | 0 |
_aDeep Learning and Medical Applications _h[electronic resource] / _cedited by Jin Keun Seo. |
| 250 | _a1st ed. 2023. | ||
| 264 | 1 |
_aSingapore : _c2023. |
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| 300 |
_aXV, 339 p. 236 illus., 216 illus. in color. _bonline resource. |
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| 336 |
_atext _btxt _2rdacontent |
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| 337 |
_acomputer _bc _2rdamedia |
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| 338 |
_aonline resource _bcr _2rdacarrier |
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| 347 |
_atext file _bPDF _2rda |
||
| 490 | 1 |
_aMathematics in Industry, _x2198-3283 ; _v40 |
|
| 505 | 0 | _aIntroduction -- Image Processing Techniques -- Medical image computing using Computeruzed Tomography -- Multiphysics imaging modalities using MRI (electrical, mechanical, optical) -- Imaging modalities using electrodes -- Multiphysics imaging modalities using ultrasound and light -- Emerging tissue property imaging. | |
| 520 | _aOver the past 40 years, diagnostic medical imaging has undergone remarkable advancements in CT, MRI, and ultrasound technology. Today, the field is experiencing a major paradigm shift, thanks to significant and rapid progress in deep learning techniques. As a result, numerous innovative AI-based programs have been developed to improve image quality and enhance clinical workflows, leading to more efficient and accurate diagnoses. AI advancements of medical imaging not only address existing unsolved problems but also present new and complex challenges. Solutions to these challenges can improve image quality and reveal new information currently obscured by noise, artifacts, or other signals. Holistic insight is the key to solving these challenges. Such insight may lead to a creative solution only when it is based on a thorough understanding of existing methods and unmet demands. This book focuses on advanced topics in medical imagingmodalities, including CT and ultrasound, with the aim of providing practical applications in the healthcare industry. It strikes a balance between mathematical theory, numerical practice, and clinical applications, offering comprehensive coverage from basic to advanced levels of mathematical theories, deep learning techniques, and algorithm implementation details. Moreover, it provides in-depth insights into the latest advancements in dental cone-beam CT, fetal ultrasound, and bioimpedance, making it an essential resource for professionals seeking to stay up-to-date with the latest developments in the field of medical imaging. | ||
| 650 | 0 | _aMathematical models. | |
| 650 | 0 |
_aMathematical analysis. _912664 |
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| 650 | 0 | _aMathematics. | |
| 650 | 1 | 4 |
_aMathematical Modeling and Industrial Mathematics. _937369 |
| 650 | 2 | 4 | _aAnalysis. |
| 650 | 2 | 4 |
_aApplications of Mathematics. _937370 |
| 700 | 1 |
_aSeo, Jin Keun. _eeditor. _4edt _4http://id.loc.gov/vocabulary/relators/edt _937371 |
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| 710 | 2 |
_aSpringerLink (Online service) _937372 |
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| 773 | 0 | _tSpringer Nature eBook | |
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_iPrinted edition: _z9789819918386 |
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_iPrinted edition: _z9789819918416 |
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_aMathematics in Industry, _x2198-3283 ; _v40 _937373 |
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| 856 | 4 | 0 | _uhttps://doi.org/10.1007/978-981-99-1839-3 |
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