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" Lung imaging and computer-aided diagnosis "
edited by Ayman El-Baz and Jasjit S. Suri.
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BL
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| Record Number
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751160
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b571119
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| Main Entry
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edited by Ayman El-Baz and Jasjit S. Suri.
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| Title & Author
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Lung imaging and computer-aided diagnosis\ edited by Ayman El-Baz and Jasjit S. Suri.
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| Publication Statement
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Boca Raton, Fla : CRC Press, 2012
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| ISBN
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1439845573
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: 1439845581
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: 9781439845578
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: 9781439845585
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| Contents
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A Novel Three-Dimensional Framework for Automatic Lung Segmentation from Low- Dose Computed Tomography Images; Ayman El-Baz, Georgy Gimel'farb, Robert Falk, and Mohamed Abo El-GharIncremental Engineering of Lung Segmentation Systems; Avishkar Misra, Arcot Sowmya, and Paul Compton3D MGRF-Based Appearance Modeling for Robust Segmentation of Pulmonary Nodules in 3D LDCT Chest Images; Ayman El-Baz, Georgy Gimel'farb, Robert Falk, and Mohamed Abo El-GharGround-Glass Nodule Characterization in High-Resolution Computed Tomography Scans; Kazunori OkadaFour-Dimensional Computed Tomography Lung Registration Methods; Anand P. Santhanam, Yugang Min, Jannick P. Rolland, Celina Imielinska, and Patrick A. KupelianPulmonary Kinematics via Registration of Serial Lung Images; Tessa Cook, Gang Song, Nicholas J. Tustison, Drew Torigian, Warren B. Gefter, and James GeeAcquisition and Automated Analysis of Normal and Pathological Lungs in Small Animals Using Computed Microtomography; Xabier Artaechevarria, Mario Ceresa, Arrate Munoz- Barrutia, and Carlos Ortiz-de- SolorzanoAirway Segmentation and Analysis from Computed Tomography; Benjamin Irving, Andrew Todd-Pokropek, and Paul TaylorPulmonary Vessel Segmentation for Multislice CT Data: Methods and Applications; Jens N. Kaftan and Til AachA Novel Level Set-Based Computer-Aided Detection System for Automatic Detection of Lung Nodules in Low-Dose Chest Computed Tomography Scans; Ayman El-Baz, Aly Farag, Georgy Gimel'farb, Robert Falk, and Mohamed Abo El-Ghar Model-Based Methods for Detection of Pulmonary Nodules; Paulo R. S. Mendonca, Rahul Bhotika, and Robert KaucicConcept and Practice of Genetic Algorithm Template Matching and Higher Order Local Autocorrelation Schemes in Automated Detection of Lung Nodules; Yongbum Lee, Takeshi Hara, DuYih Tsai, and Hiroshi FujitaComputer-Aided Detection of Lung Nodules in Chest Radiographs and Thoracic CT; Kenji SuzukiLung Nodule and Tumor Detection and Segmentation; Jinghao Zhou and Dimitris N. MetaxasTexture Classification in Pulmonary CT; Lauge Sorensen, Mehrdad J. Gangeh, Saher B. Shaker, and Marleen de BruijneComputer-Aided Assessment and Stenting of Tracheal Stenosis; Romulo Pinho, Kurt G. Tournoy, and Jan SijbersAppearance Analysis for the Early Assessment of Detected Lung Nodules; Ayman El-Baz, Georgy Gimel'farb, Robert Falk, Mohamed Abo El-Ghar, and Jasjit SuriValidation of a New Image-Based Approach for the Accurate Estimating of the Growth Rate of Detected Lung Nodules Using Real Computed Tomography Images and Elastic Phantoms Generated by State-of-the-Art Microfluidics Technology; Ayman El-Baz, Palaniappan Sethu, Georgy Gimel'farb, Fahmi Khalifa, Ahmed Elnakib, Robert Falk, Mohamed Abo El-Ghar, and Jasjit SuriThree-Dimensional Shape Analysis Using Spherical Harmonics for Early Assessment of Detected Lung Nodules; Ayman El-Baz, Matthew Nitzken, Georgy Gimel'farb, Eric Van Bogaert, Robert Falk, Mohamed Abo El-Ghar, and Jasjit SuriIndex
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| Subject
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Diagnosis -- Data processing.
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| Subject
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Lungs -- Imaging.
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| LC Classification
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RC734.I43E358 2012
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