An information theoretic view of the scheduling problem in whole-body CAD

Progress in Biomedical Optics and Imaging - Proceedings of SPIE

Volumn 6915, Issue , 2008, Pages

  Zhan, Yiqiang ^a   Zhou, Xiang Sean ^a   Krishnan, Arun ^a  

^a SIEMENS CORPORATE RESEARCH   (United States)

Author keywords

Detection; Information theory; Task scheduling; Whole body CAD

Indexed keywords

COMPUTERIZED TOMOGRAPHY; IMAGE ANALYSIS; INFORMATION THEORY;

TASK SCHEDULING; WHOLE-BODY CAD;

COMPUTER AIDED DIAGNOSIS;

EID: 44349151716     PISSN: 16057422     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1117/12.770922     Document Type: Conference Paper

References (16)

1. D. Visvikis and P. J. Ell, "Impact of technology on the utilisation of positron emission tomography in lymphoma: current and future perspectives," European Journal of Nuclear Medicine and Molecular Imaging 30, pp. 1619-7070, 2002.
2. M. Niitsu and T. Takeda, "Solitary hot spots in the ribs on bone scan: value of thin-section reformatted computed tomography to exclude radiography-negative fractures," J Comput Assit Tomogr. 27, pp. 469-474, 2003.
3. M. O'Connell, T. Powell, D. Brennan, T. Lynch, C. McCarthy, and S. Eustace, "Whole-body mr imaging in the diagnosis of polymyositis," AJR Am J Roentgenol. 179, pp. 967-971, 2002.
4. U. Weber, C. W. Pfirrmann, R. O. Kissling, and J. H. M. Zanetti, "Whole body mr imaging in ankylosing spondylitis: a descriptive pilot study in patients with suspected early and active confirmed ankylosing spondylitis," 8, 2007.
5. P. Brucker, "Scheduling algorithms," 2004.
6. K. Pruhs, J. Sgall, and E. Torng, Handbook of Scheduling:Algorithms, Models, and Performance Analysis, CRC Press, 2003.
7. J. E. Kelley, "Critical-path planning and scheduling: Mathematical basis," Operations Research 9, pp. 296-320, 1961.
8. I. hyun Nam, "Dynamic scheduling for a flexible processing network," Operations Research 49, pp. 305-315, 2001.
9. M. C.Chou, H. Liu, M. Queyranne, and D. Simchi-Levi, "On the asymptotic optimality of a simple on-line algorithm for the stochastic single-machine weighted completion time problem and its extensionsbrownian models of open processing networks:canonical representation of workload," Operations Research 54, pp. 464-474, 2006.
10. H. Cres and H. Moulin, "Scheduling with opting out: Improving upon radom priority," Operations Research 49, pp. 565-577, 2001.
11. W. G. Gilland, "Effective sequencing rultes for closed manufacturing networks," Operations Research 49, pp. 759-770, 2001.
12. J. Denzler and C. M. Brown, "Information theoretic sensor data selection for active object recognition and state estimation," IEEE Trans. PAMI 24, pp. 145-157, 2002.
13. T. Cover and J. Thomas, "Elements of information theory," 1991.
14. H. Peng, F. Long, and C. Ding, "Feature selection based on mutual information: criteria of max-dependency, max-relevance, and min-redundancy, " IEEE Trans. PAMI 27, pp. 1226-1238, 2005.
15. X. S. Zhou, D. Comaniciu, and A. Krishnan, "Conditional feature sensitivity: A unifying view on active recognition and feature selection," 2003. ICCV.
16. P. Viola and M. J. Jones, "Robust real-time face detection," International Journal of Computer Vision 57, pp. 137-154, 2004.