Level set method in medical imaging segmentation / authored by Ayman El-Baz and Jasjit S. Suri.

Author/creator El-Baz, Ayman S.
Other author Suri, Jasjit S.
Format Electronic
Publication InfoBoca Raton : CRC Press, Taylor & Francis, [2019]
Descriptionxvii, 396 pages : illustrations ; 25 cm.
Supplemental ContentFull text available from Taylor & Francis eBooks
Subjects

Contents Tomography reconstructions with stochastic level-set methods / Bruno Sixou, Lin Wang, and Francoise Peyrin -- Application of 3D level set based optimization in microwave breast imaging for cancer detection / Hardik N. Patel and Deepak K. Ghodgaonkar -- A modified global and elastic ICP shape registration for medical imaging applications / Hossam Abd El Munim and Aly A. Farag -- Robust nuclei segmentation using statistical level set method with topology preserving constraint / Shaghayegh Taheri, Thomas Fevens, and Tien D. Bui -- Level set methods in segmentation of SDOCT retinal images / Padmasini N, Umamaheswari R, Mohamed Yacin Sikkandar and Manavi D Sindal -- Numerical techniques for level set models : an image segmentation perspective / Elisabetta Carlini, Maurizio Falcone, and Roberto Ferretti -- Level set methods for cardiac segmentation in MSCT images / Ruben Medina, Sebastian Bautista, Villie Morocho, and Alexandra La Cruz -- Deformable models and image segmentation / Ahmed ElTanboly, Ali Mahmoud, Ahmed Shalaby, Magdi El-Azab, Mohammed Ghazal, Robert Keynton, and Ayman El-Baz -- Cardiac image segmentation using generalized polynomial chaos expansion and level set function / Yuncheng Du, and Dongping Du -- Medical image segmentation approach that uses level sets with statistical shape priors / Ahmed Eltanboly, Mohammed Ghazal, Hassan Hajjdiab, Ali Mahmoud, Ahmed Shalaby, Jasjit Suri, Robert Keynton, and Ayman El-Baz -- Level set method in medical imaging segmentation / Jiangxiong Fang -- Image segmentation with B-spline level set / Shenhai Zheng, Bin Fang, and Laquan Li.
Bibliography noteIncludes bibliographical references.
Access restrictionAvailable only to authorized users.
Technical detailsMode of access: World Wide Web
Genre/formElectronic books.
LCCN 2019005809
ISBN9781138553453 (hardback : alk. paper)
ISBN(ebook)
ISBN(ebook)

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