| 000 | 02497nam a22003615i 4500 | ||
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| 001 | 395155 | ||
| 003 | ES-MaUEC | ||
| 005 | 20230110120124.0 | ||
| 007 | cr nn 008mamaa | ||
| 008 | 210814s2022 si | s |||| 0|eng d | ||
| 020 | _a9789811638800 | ||
| 024 | 7 |
_a10.1007/978-981-16-3880-0 _2doi |
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| 040 |
_aES-MaUEC _bspa _cES-MaUEC |
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| 245 | 1 | 0 |
_aProceedings of 2021 International Conference on Medical Imaging and Computer-Aided Diagnosis (MICAD 2021) _bMedical Imaging and Computer-Aided Diagnosis _cedited by Ruidan Su, Yu-Dong Zhang, Han Liu. |
| 250 | _a1st edition 2022 | ||
| 264 | 1 |
_aSingapore _bSpringer International Publishing _c2022 |
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| 300 |
_a1 recurso en línea (XIII, 439 páginas) _b204 ilustraciones, 151 ilustraciones a color |
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| 336 |
_atexto _btxt _2rdacontent |
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| 337 |
_aelectrónico _bc _2rdamedia |
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| 338 |
_arecurso electrónico _bcr _2rdacarrier |
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| 347 |
_aarchivo de texto _bPDF |
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| 490 | 0 |
_aLecture Notes in Electrical Engineering _x1876-1119 _v784 |
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| 505 | 0 | _aMedical Imaging -- Computer Aided Detection/Diagnosis -- Machine learning and Deep learning -- Others. | |
| 520 | _aThis book covers virtually all aspects of image formation in medical imaging, including systems based on ionizing radiation (x-rays, gamma rays) and non-ionizing techniques (ultrasound, optical, thermal, magnetic resonance, and magnetic particle imaging) alike. In addition, it discusses the development and application of computer-aided detection and diagnosis (CAD) systems in medical imaging. Also there will be a special track on computer-aided diagnosis on COVID-19 by CT and X-rays images. Given its coverage, the book provides both a forum and valuable resource for researchers involved in image formation, experimental methods, image performance, segmentation, pattern recognition, feature extraction, classifier design, machine learning / deep learning, radiomics, CAD workstation design, human-computer interaction, databases, and performance evaluation. . | ||
| 776 | 0 | 8 |
_iPrinted edition: _z9789811638794 |
| 776 | 0 | 8 |
_iPrinted edition: _z9789811638817 |
| 776 | 0 | 8 |
_iPrinted edition: _z9789811638824 |
| 856 | 4 | 0 |
_uhttps://go.openathens.net/redirector/universidadeuropea.es?url=https://doi.org/10.1007/978-981-16-3880-0 _zAcceso a este recurso digital (usuarios Universidad Europea de Madrid) |
| 942 |
_2lcc _cLE |
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| 988 | _aSpringer_Engineering_2022 | ||
| 999 |
_c395155 _d395155 |
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