000 | 06161nam a2200733 i 4500 | ||
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001 | 9780750322447 | ||
003 | IOP | ||
005 | 20230516170302.0 | ||
006 | m eo d | ||
007 | cr cn |||m|||a | ||
008 | 230109s2022 enka fob 000 0 eng d | ||
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_a9780750322447 _qebook |
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024 | 7 |
_a10.1088/978-0-7503-2244-7 _2doi |
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035 | _a(CaBNVSL)thg00083521 | ||
035 | _a(OCoLC)1358413686 | ||
040 |
_aCaBNVSL _beng _erda _cCaBNVSL _dCaBNVSL |
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050 | 4 |
_aRC78.7.D53 _bM855 2022eb |
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060 | 4 |
_aWN 180 _bM961 2022eb |
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072 | 7 |
_aMQW _2bicssc |
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_aTEC059000 _2bisacsh |
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_a616.07/54 _223 |
245 | 0 | 0 |
_aMultimodality imaging. _nVolume 1, _pDeep learning applications / _cedited by Mainak Biswas, Jasjit S. Suri. |
264 | 1 |
_aBristol [England] (Temple Circus, Temple Way, Bristol BS1 6HG, UK) : _bIOP Publishing, _c[2022] |
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300 |
_a1 online resource (various pagings) : _billustrations (some color). |
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336 |
_atext _2rdacontent |
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337 |
_aelectronic _2isbdmedia |
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338 |
_aonline resource _2rdacarrier |
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490 | 1 | _a[IOP release $release] | |
490 | 1 | _aIOP ebooks. [2022 collection] | |
500 | _a"Version: 20221201"--Title page verso. | ||
504 | _aIncludes bibliographical references. | ||
505 | 0 | _apart I. Deep learning and its applications. 1. Deep learning and augmented radiology / Mainak Biswas and Jasjit S. Suri -- 2. Deep learning in biomedical imaging / Mainak Biswas and Jasjit S. Suri | |
505 | 8 | _apart II. Deep learning in brain imaging. 3. A review of artificial intelligence in brain tumor classification and segmentation / Mainak Biswas and Jasjit S. Suri -- 4. MRI based brain tumor classification and its validation : a transfer learning paradigm / Luca Saba, Gopal S. Tandel, Mainak Biswas, Michele Porcu, N.N. Khanna, Monica Turk, Christopher K. Asare, Annabel A. Ankrah and Jasjit S. Suri | |
505 | 8 | _a5. Magnetic resonance based Wilson's disease tissue characterization in an artificial intelligence framework using transfer learning / Siva Skandha, Luca Saba, Suneet K. Gupta, Vijaya K. Kumar, Amer M. Johri, Narendra N. Khanna, Sophie Mavrogeni, John R. Laird, Gyan Pareek, Petros P. Sfikakis, Athanasios Protogerou, Monica Turk, Aditya M. Sharma, Andrew Nicolaides, George D. Kitas, Klaudija Viskovic, Tomaz Omerzu and Jasjit S. Suri | |
505 | 8 | _apart III. Deep learning in cardiovascular imaging. 6. Artificial intelligence based carotid plaque tissue characterisation and classification from ultrasound images using a deep learning paradigm / Luca Saba, Sanagala S. Skandha, Suneet K. Gupta, Anudeep Puvvula, Vijaya K. Koppula, Amer M. Johri, Narendra N. Khanna, Sophie Mavrogeni, John R. Laird, Gyan Pareek, Martin Miner, Petros P. Sfikakis, Athanasios Protogerou, Durga P. Misra, Vikas Agarwal, Aditya M. Sharma, Vijay Viswanathan, Vijay S. Rathore, Monika Turk, Raghu Kolluri, Klaudija Viskovic, Elisa Cuadrado-Godia, George D. Kitas, Vijay Nambi, Deepak L. Bhatt, Andrew Nicolaides and Jasjit S. Suri -- 7. Quantification of plaque volume using a two-stage deep learning paradigm / Mainak Biswas and Jasjit S. Suri -- 8. Stenosis measurement from ultrasound carotid artery images in the deep learning paradigm / Mainak Biswas and Jasjit S. Suri -- 9. A systematic review of conventional and deep learning models for the measurement of plaque burden / Mainak Biswas and Jasjit S. Suri | |
505 | 8 | _apart IV. Machine and deep learning in liver imaging. 10. Ultrasound fatty liver disease risk stratification using an extreme learning machine framework / Mainak Biswas and Jasjit S. Suri -- 11. Symtosis : deep learning based liver ultrasound tissue characterisation and risk stratification / Mainak Biswas and Jasjit S. Suri | |
505 | 8 | _apart V. Deep learning in COVID-19. 12. Characterization of COVID-19 severity in infected lungs via artificial intelligence transfer learning / Sanagala S. Skandha, Luca Saba, Suneet K. Gupta, Vijaya K. Kumar, Amer M. Johri, Narendra N. Khanna, Sophie Mavrogeni, John R. Laird, Gyan Pareek, Petros P. Sfikakis, Athanasios Protogerou, Monica Turk, Aditya M. Sharma, Andrew Nicolaides, George D. Kitas, Klaudija Viskovic, Tomaz Omerzu and Jasjit S. Suri. | |
520 | 3 | _aThis research and reference text explores the finer details of deep learning models. It provides a brief outline on popular models including convolution neural networks, deep belief networks, autoencoders and residual neural networks. | |
521 | _aAcademic and industry researchers in medical imaging analysis, and for graduate students taking courses on machine learning and deep learning for computer vision and medical image computing and analysis. | ||
530 | _aAlso available in print. | ||
538 | _aMode of access: World Wide Web. | ||
538 | _aSystem requirements: Adobe Acrobat Reader, EPUB reader, or Kindle reader. | ||
545 | _aProfessor Mainak Biswas is a computer scientist with specialization in the application of machine learning and deep learning in biomedical domain. Professor Jasjit S. Suri has spent over 30 years in the field of biomedical engineering/sciences, software and hardware engineering and its management. | ||
588 | 0 | _aTitle from PDF title page (viewed on January 9, 2023). | |
650 | 0 |
_aDiagnostic imaging _xData processing. _913574 |
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650 | 0 |
_aDeep learning (Machine learning) _970704 |
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650 | 0 |
_aComputer vision. _970705 |
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650 | 1 | 2 |
_aDiagnostic Imaging. _96280 |
650 | 1 | 2 |
_aDeep Learning. _970706 |
650 | 1 | 2 |
_aVisual Perception. _93461 |
650 | 7 |
_aBiomedical engineering. _2bicssc _93292 |
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650 | 7 |
_aTECHNOLOGY & ENGINEERING / Biomedical. _2bisacsh _915690 |
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700 | 1 |
_aBiswas, Mainak, _eeditor. _970707 |
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700 | 1 |
_aSuri, Jasjit S., _eeditor. _970708 |
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710 | 2 |
_aInstitute of Physics (Great Britain), _epublisher. _911622 |
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776 | 0 | 8 |
_iPrint version: _z9780750322423 _z9780750322454 |
830 | 0 |
_aIOP (Series). _pRelease 22. _970709 |
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830 | 0 |
_aIOP ebooks. _p2022 collection. _970710 |
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856 | 4 | 0 | _uhttps://iopscience.iop.org/book/edit/978-0-7503-2244-7 |
942 | _cEBK | ||
999 |
_c82891 _d82891 |