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010 a| 2019025184;

020 a| 9781138504530q| (hardback);

020 z| 9781315146102q| (ebook);

035 a| (WaSeSS)ssj0002227682;

042 a| pcc;

049 a| EREEa| NEHH;

050 00 a| RC78.7.D53b| B54 2020;

082 00 a| 616.07/542| 23;

245 00 a| Big data in multimodal medical imagingh| [electronic resource] /c| edited by Ayman El-Baz and Jasjit S. Suri.;

260 a| Boca Raton :b| CRC Press/Taylor Francis Group ;c| [2020];

300 a| xvii, 311 pages :b| illustrations ;c| 27 cm;

504 a| Includes bibliographical references and index.;

505 0 a| Unique and important big-data radiomics features in multimodal medical imaging using machine learning techniques / Gengbo Liu, Youngho Seo, Debasis Mitra, and Benjamin L. Franc -- Multimodal medical image fusion in NSCT domain / Gaurav Bhatnagar, Zheng Liu and Q.M. Jonathan Wu -- Computer aided diagnosis in pre-clinical dementia : from single-modal metrics to multimodal fused methodologies / Yi Lao, Sinchai Tsao, Natasha Lepore -- Automated diagnosis and prediction in cardiovascular diseases using tomographic imaging / Lisa Duff, Charalampos Tsoumpas -- Big data in computational health informatics / Ruogu Fang, Yao Xiao, Jianqiao Tian, Samira Pouyanfar, Yimin Yang, Shu-Ching Chen, and S. S. Iyengar -- Fast dual optimization for medical image segmentation / Jing Yuan, Ismail Ben Ayed, Aaron Fenster -- Non-parametric bayesian estimation of rigid registration for multi-contrast data in big data analysis / Stathis Hadjidemetriou, Ismini Papageorgiou -- Multimodal analysis in biomedicine / Mohammad-Parsa Hosseini, Aaron Lau, Kost Elisevich, Hamid Soltanian-Zadeh -- Towards big data in acute renal rejection / Mohamed Shehata, Ahmed Shalaby, Ali Mahmoud, Mohammed Ghazal, Hassan Hajjdiab, Mohammed A. Badawy, Mohamed Abou El-Ghar, Ashraf Bakr, Amy C. Dwyer, Robert Keynton, Adel Elmaghraby, and Ayman El-Baz -- Overview of deep learning algorithms applied to medical images / Behnaz Abdollahi, Ayman El-Baz, Hermann B. Frieboes -- Big data in prostate cancer / Islam Reda, Ashraf Khalil, Mohammed Ghazal, Ahmed Shalaby, Mohammed Elmogy, Ahmed Aboulfotouh, Ali Mahmoud, Mohamed Abou El-Ghar, Ayman El-Baz -- Automatic detection of early signs of diabetic retinopathy based on feature fusion from OCT and OCTA scans / Nabila Eladawi, Ahmed ElTanboly, Mohammed Elmogy, Mohammed Ghazal, Ali Mahmoud, Ahmed Aboelfetouh, Alaa Riad, Magdi El-Azab, Jasjit S. Suri, Guruprasad Giridharan, and Ayman El-Baz -- Computer aided diagnosis system for early detection of diabetic retinopathy using OCT images / Ahmed ElTanboly, Ahmed Shalaby, Ali Mahmoud, Mohammed Ghazal, Andrew Switala, Fatma Taher, Jasjit S. Suri, Robert Keynton, and Ayman El-Baz.;

506 a| Available only to authorized users.;

520 a| "There is an urgent need to develop and integrate new statistical, mathematical, visualization, and computational models with the ability to analyze Big Data in order to retrieve useful information to aid clinicians in accurately diagnosing and treating patients"--c| Provided by publisher.;

538 a| Mode of access: World Wide Web;

650 0 a| Diagnostic imagingx| Data processing.=| ^A148134;

650 0 a| Big data.=| ^A1157100;

655 0 a| Electronic books.=| ^A491897;

700 1 a| El-Baz, Ayman S.?| UNAUTHORIZED;

700 1 a| Suri, Jasjit S.=| ^A1090757;

856 40 z| Full text available from Taylor & Francis eBooksu| https://go.openathens.net/redirector/ecu.edu?url=https%3A%2F%2Fwww.taylorfrancis.com%2Fbooks%2F9781315146102;

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999 a| CLICK ON WEB ADDRESSw| ASISc| 1i| 6657926-3001l| MNETm| JMUSICr| Ys| Yt| MNESSBKu| 12/18/2025x| EBOOKz| JERESOURCE;

Big data in multimodal medical imaging / edited by Ayman El-Baz and Jasjit S. Suri.

Other author	El-Baz, Ayman S.
Other author	Suri, Jasjit S.
Format	Electronic
Publication Info	Boca Raton : CRC Press/Taylor Francis Group ; [2020]
Description	xvii, 311 pages : illustrations ; 27 cm
Supplemental Content	Full text available from Taylor & Francis eBooks
Subjects	Diagnostic imaging--Data processing. Big data.

Contents	Unique and important big-data radiomics features in multimodal medical imaging using machine learning techniques / Gengbo Liu, Youngho Seo, Debasis Mitra, and Benjamin L. Franc -- Multimodal medical image fusion in NSCT domain / Gaurav Bhatnagar, Zheng Liu and Q.M. Jonathan Wu -- Computer aided diagnosis in pre-clinical dementia : from single-modal metrics to multimodal fused methodologies / Yi Lao, Sinchai Tsao, Natasha Lepore -- Automated diagnosis and prediction in cardiovascular diseases using tomographic imaging / Lisa Duff, Charalampos Tsoumpas -- Big data in computational health informatics / Ruogu Fang, Yao Xiao, Jianqiao Tian, Samira Pouyanfar, Yimin Yang, Shu-Ching Chen, and S. S. Iyengar -- Fast dual optimization for medical image segmentation / Jing Yuan, Ismail Ben Ayed, Aaron Fenster -- Non-parametric bayesian estimation of rigid registration for multi-contrast data in big data analysis / Stathis Hadjidemetriou, Ismini Papageorgiou -- Multimodal analysis in biomedicine / Mohammad-Parsa Hosseini, Aaron Lau, Kost Elisevich, Hamid Soltanian-Zadeh -- Towards big data in acute renal rejection / Mohamed Shehata, Ahmed Shalaby, Ali Mahmoud, Mohammed Ghazal, Hassan Hajjdiab, Mohammed A. Badawy, Mohamed Abou El-Ghar, Ashraf Bakr, Amy C. Dwyer, Robert Keynton, Adel Elmaghraby, and Ayman El-Baz -- Overview of deep learning algorithms applied to medical images / Behnaz Abdollahi, Ayman El-Baz, Hermann B. Frieboes -- Big data in prostate cancer / Islam Reda, Ashraf Khalil, Mohammed Ghazal, Ahmed Shalaby, Mohammed Elmogy, Ahmed Aboulfotouh, Ali Mahmoud, Mohamed Abou El-Ghar, Ayman El-Baz -- Automatic detection of early signs of diabetic retinopathy based on feature fusion from OCT and OCTA scans / Nabila Eladawi, Ahmed ElTanboly, Mohammed Elmogy, Mohammed Ghazal, Ali Mahmoud, Ahmed Aboelfetouh, Alaa Riad, Magdi El-Azab, Jasjit S. Suri, Guruprasad Giridharan, and Ayman El-Baz -- Computer aided diagnosis system for early detection of diabetic retinopathy using OCT images / Ahmed ElTanboly, Ahmed Shalaby, Ali Mahmoud, Mohammed Ghazal, Andrew Switala, Fatma Taher, Jasjit S. Suri, Robert Keynton, and Ayman El-Baz.
Abstract	"There is an urgent need to develop and integrate new statistical, mathematical, visualization, and computational models with the ability to analyze Big Data in order to retrieve useful information to aid clinicians in accurately diagnosing and treating patients"-- Provided by publisher.
Bibliography note	Includes bibliographical references and index.
Access restriction	Available only to authorized users.
Technical details	Mode of access: World Wide Web
Genre/form	Electronic books.
LCCN	2019025184
ISBN	9781138504530 (hardback)
ISBN	(ebook)

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Big data in multimodal medical imaging / edited by Ayman El-Baz and Jasjit S. Suri.

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