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024 7 _a10.1088/978-0-7503-2244-7
_2doi
035 _a(CaBNVSL)thg00083521
035 _a(OCoLC)1358413686
040 _aCaBNVSL
_beng
_erda
_cCaBNVSL
_dCaBNVSL
050 4 _aRC78.7.D53
_bM855 2022eb
060 4 _aWN 180
_bM961 2022eb
072 7 _aMQW
_2bicssc
072 7 _aTEC059000
_2bisacsh
082 0 4 _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]
300 _a1 online resource (various pagings) :
_billustrations (some color).
336 _atext
_2rdacontent
337 _aelectronic
_2isbdmedia
338 _aonline resource
_2rdacarrier
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
650 0 _aDeep learning (Machine learning)
_970704
650 0 _aComputer vision.
_970705
650 1 2 _aDiagnostic Imaging.
_96280
650 1 2 _aDeep Learning.
_970706
650 1 2 _aVisual Perception.
_93461
650 7 _aBiomedical engineering.
_2bicssc
_93292
650 7 _aTECHNOLOGY & ENGINEERING / Biomedical.
_2bisacsh
_915690
700 1 _aBiswas, Mainak,
_eeditor.
_970707
700 1 _aSuri, Jasjit S.,
_eeditor.
_970708
710 2 _aInstitute of Physics (Great Britain),
_epublisher.
_911622
776 0 8 _iPrint version:
_z9780750322423
_z9780750322454
830 0 _aIOP (Series).
_pRelease 22.
_970709
830 0 _aIOP ebooks.
_p2022 collection.
_970710
856 4 0 _uhttps://iopscience.iop.org/book/edit/978-0-7503-2244-7
942 _cEBK
999 _c82891
_d82891