| 000 | 04058nam a22004575i 4500 | ||
|---|---|---|---|
| 988 | _aSpringer_Robotics_2020 | ||
| 999 |
_c116969 _d116969 _x1 |
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| 003 | ES-MaUEC | ||
| 005 | 20230110040251.0 | ||
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| 008 | 190828s2020 si | s |||| 0|eng d | ||
| 020 | _a9789811387982 | ||
| 024 | 7 |
_a10.1007/978-981-13-8798-2 _2doi |
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| 040 |
_aES-MaUEC _bspa _cES-MaUEC _dES-MaUEC |
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| 050 | 4 |
_aR859.7 .A78 _b2020 EB |
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| 245 | 0 | 0 |
_aComputer Vision and Machine Intelligence in Medical Image Analysis : _bInternational Symposium, ISCMM 2019 _cedited by Mousumi Gupta, Debanjan Konar, Siddhartha Bhattacharyya, Sambhunath Biswas |
| 250 | _aFirst edition | ||
| 264 | 1 |
_aSingapore _bSpringer Singapore _c2020 |
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| 300 |
_a1 recurso en línea (XII, 150 páginas) _b62 ilustraciones, 31 ilustraciones a color |
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| 336 |
_2rdacontent _aTexto _btxt |
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| 337 |
_2rdamedia _aelectrónico _bc |
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| 338 |
_2rdacarrier _arecurso electrónico _bcr |
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| 347 |
_atext file _bPDF |
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| 490 | 1 |
_aAdvances in Intelligent Systems and Computing _x2194-5357 _v992 |
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| 490 | 0 | _aTechnologies and Robotics (Springer-42732) | |
| 505 | 0 | _aChapter 1. A Novel Method for Pneumonia Diagnosis from Chest X-Ray Images Using Deep Residual Learning with Separable Convolutional Networks -- Chapter 2. Identification of Neural Correlates of Face Recognition Using Machine Learning Approach -- Chapter 3. An Overview of Remote Photoplethysmography Methods for Vital Sign Monitoring -- Chapter 4. Fuzzy Inference System for Efficient Lung Cancer Detection -- Chapter 5. Medical Image Compression Scheme Using Number Theoretic Transform -- Chapter 6. The Retinal Blood Vessel Segmentation Using Expected Maximization Algorithm -- Chapter 7. Classification Algorithms to Predict Heart Diseases-A Survey -- Chapter 8. A Hybrid Filtering Based Retinal Blood Vessel Segmentation Algorithm -- Chapter 9. Laser Scar Classification in Retinal Fundus Images Using Wavelet Transform and Local Variance -- Chapter 10. Automated Segmentation of Cervical Cells Using MSER Algorithm and Gradient Embedded Cost Function Based Level Set Method -- Chapter 11. Macroscopic Reconstruction for Histopathology Images A Survey -- Chapter 12. Likelihood Prediction of Diabetes at Early Stage Using Data Mining Techniques -- Chapter 13. Medical Diagnosis Under Uncertain Environment Through Bipolar-valued Fuzzy Sets -- Chapter 14. Design and Analysis of Novel Room Temperature T-Ray Source for Biomedical Imaging: Application in Full Body Prosthetics. | |
| 520 | 3 | _aThis book includes high-quality papers presented at the Symposium 2019, organised by Sikkim Manipal Institute of Technology (SMIT), in Sikkim from 26-27 February 2019. It discusses common research problems and challenges in medical image analysis, such as deep learning methods. It also discusses how these theories can be applied to a broad range of application areas, including lung and chest x-ray, breast CAD, microscopy and pathology. The studies included mainly focus on the detection of events from biomedical signals. | |
| 650 | 7 |
_2embne _9421371 _aInteligencia artificial en medicina _xCongresos y asambleas |
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| 650 | 7 |
_2embne _9167079 _aSistemas de imágenes en medicina _xCongresos y asambleas |
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| 650 | 7 |
_2embne _aDiagnóstico por imagen _xCongresos y asambleas _9139972 |
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| 700 | 1 |
_aGupta, Mousumi _eeditor _4http://id.loc.gov/vocabulary/relators/edt |
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| 700 | 1 |
_aKonar, Debanjan _eeditor _4http://id.loc.gov/vocabulary/relators/edt |
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| 700 | 1 |
_aBhattacharyya, Siddhartha, _d1975- _eeditor _4http://id.loc.gov/vocabulary/relators/edt _9100498 |
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| 700 | 1 |
_aBiswas, Sambhunath _eeditor _4http://id.loc.gov/vocabulary/relators/edt |
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| 776 | 0 | 8 |
_iPrinted edition: _z9789811387975 |
| 776 | 0 | 8 |
_iPrinted edition: _z9789811387999 |
| 856 | 4 | 0 |
_uhttps://go.openathens.net/redirector/universidadeuropea.es?url=https://doi.org/10.1007/978-981-13-8798-2 _zAcceso a este recurso digital (usuarios Universidad Europea de Madrid) |
| 942 |
_2lcc _cLE |
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| 998 |
_aSI _cm _dz _feng _ggw _h0 _b01/2020 _eel _zSI |
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