000 | 05261nam a2200697 i 4500 | ||
---|---|---|---|
001 | 9780750337953 | ||
003 | IOP | ||
005 | 20230516170326.0 | ||
006 | m eo d | ||
007 | cr cn |||m|||a | ||
008 | 220501s2022 enka fob 000 0 eng d | ||
020 |
_a9780750337953 _qebook |
||
020 |
_a9780750337946 _qmobi |
||
020 |
_z9780750337939 _qprint |
||
020 |
_z9780750337960 _qmyPrint |
||
024 | 7 |
_a10.1088/978-0-7503-3795-3 _2doi |
|
035 | _a(CaBNVSL)thg00083257 | ||
035 | _a(OCoLC)1311975135 | ||
040 |
_aCaBNVSL _beng _erda _cCaBNVSL _dCaBNVSL |
||
050 | 4 |
_aRA644.C67 _bA758 2022eb |
|
060 | 4 |
_aWC 506.4 _bAR791 2022eb |
|
072 | 7 |
_aM _2bicssc |
|
072 | 7 |
_aHEA000000 _2bisacsh |
|
082 | 0 | 4 |
_a616.2/4140285 _223 |
245 | 0 | 0 |
_aArtificial intelligence strategies for analyzing COVID-19 pneumonia lung imaging. _nVolume 1, _pCharacterization approaches / _cedited by Ayman El-Baz, 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: 20220401"--Title page verso. | ||
504 | _aIncludes bibliographical references. | ||
505 | 0 | _a1. Applying deep learning and emerging technologies in combating COVID-19 / Adedoyin A. Hussain and Barakat A. Dawood -- 2. Detecting COVID-19 in chest radiographs using machine learning and convolutional neural networks / Andrew C. Li, David T. Lee, Kristoff K. Misquitta, Kaiji Uno and Sasha Wald -- 3. Inf-Net : an automatic lung infection segmentation network that uses CT images / Tao Zhou, Dengping Fan, Gepeng Ji, Geng Chen, Huazhu Fu and Ling Shao -- 4. A comprehensive review of radiology smartphone applications / Mohammad (Behdad) Jamshidi, Mohammad Heydari, Jakub Talla, Zden�eek Peroutka, Maryam Ahmadi, Esmaeil Mehraeen, Hamid Abdollahi and Amirali Karimi -- 5. A hybrid deep learning method with attention for COVID-19 spread forecasting / Abdelkader Dairi, Fouzi Harrou, Ying Sun and Sofiane Khadraoui -- 6. A residual network-based deep learning model for the detection of COVID-19 using cough sounds / Annesya Banerjee and Achal Nilhani -- 7. Rapid and accurate AI-based diagnosis to distinguish COVID-19 from eight other lung respiratory diseases / Mugahed A. Al-Antari, Cam-Hao Hua and Sungyoung Lee -- 8. Diagnosis of COVID-19 by feature selection techniques using support vector machine / Amira M. Hasan, Hala M. Abd El-Kader and Aya Hossam -- 9. Post-analysis of COVID-19 pneumonia based on chest CT images using AI algorithms : a clinical point of view / M. Parimala Devi, G. Boopathi Raja, T. Sathya and V. Gowrishankar -- 10. Lung CT scans for the management of COVID-19 pneumonitis and the diagnosis of COVID-19 / Lakshna Mahajan, Nitin K Puri and Mukesh Kumar -- 11. Applications of machine learning in the COVID-19 pandemic : a scoping review / M.A. Jabbar, Syed Saba Raoof and Sonia Sharma. | |
520 | 3 | _aThe utilization of AI strategies for diagnosis, follow-up, and treatments of COVID-19 patients is now becoming essential. This is the first comprehensive reference work published detailing the latest research and developments in the utilization of AI strategies in the diagnosis and treatment of COVID-19 patients. | |
521 | _aAcademics, clinicians and scientists working in the domain of lung cancer, data-mining, machine learning, deep learning within the COVID-19 environment. | ||
530 | _aAlso available in print. | ||
538 | _aMode of access: World Wide Web. | ||
538 | _aSystem requirements: Adobe Acrobat Reader, EPUB reader, or Kindle reader. | ||
545 | _aAyman El-Baz is a Distinguished Professor at University of Louisville, Kentucky, United States and University of Louisville at AlAlamein International University (UofL-AIU), New Alamein City, Egypt. Jasjit S. Suri is an innovator, scientist, visionary, industrialist and an internationally known world leader in biomedical engineering. Dr Suri has spent over 25 years in the field of biomedical engineering/devices and its management. | ||
588 | 0 | _aTitle from PDF title page (viewed on May 8, 2022). | |
650 | 0 |
_aCOVID-19 (Disease) _xPatients _xTreatment. _970994 |
|
650 | 0 |
_aViral pneumonia. _970995 |
|
650 | 0 |
_aLungs _xDiseases _xImaging. _970996 |
|
650 | 0 |
_aArtificial intelligence _xMedical applications. _94809 |
|
650 | 1 | 2 |
_aCOVID-19 _xtherapy. _970997 |
650 | 1 | 2 |
_aPneumonia, Viral. _970998 |
650 | 1 | 2 |
_aLung _xdiagnostic imaging. _970999 |
650 | 1 | 2 |
_aArtificial Intelligence. _93407 |
650 | 7 |
_aMedicine. _2bicssc _911158 |
|
650 | 7 |
_aMedical physics and biophysics. _2bisacsh _970121 |
|
700 | 1 |
_aEl-Baz, Ayman S., _eeditor. _971000 |
|
700 | 1 |
_aSuri, Jasjit S., _eeditor. _971001 |
|
710 | 2 |
_aInstitute of Physics (Great Britain), _epublisher. _911622 |
|
776 | 0 | 8 |
_iPrint version: _z9780750337939 |
830 | 0 |
_aIOP (Series). _pRelease 22. _971002 |
|
830 | 0 |
_aIOP ebooks. _p2022 collection. _971003 |
|
856 | 4 | 0 | _uhttps://iopscience.iop.org/book/978-0-7503-3795-3 |
942 | _cEBK | ||
999 |
_c82939 _d82939 |