Analyzing and predicting images through a neural network approach

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

Volumn 1131, Issue , 1996, Pages 253-258

  de Braal, L ^a   Ezquerra, N ^a   Schwartz, E ^a   Cooke, C D ^b   Garcia, E ^b  

^a Georgia Institute of Technology   (United States)

^b EMORY UNIVERSITY   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

DIAGNOSIS; DISEASES; FORECASTING; IMAGE ANALYSIS; SINGLE PHOTON EMISSION COMPUTED TOMOGRAPHY; VISUALIZATION;

AT RESTS; BACK PROPAGATION NEURAL NETWORKS; CORONARY ARTERY DISEASE; DIAGNOSTIC IMAGES; SPECT IMAGING;

MULTILAYER NEURAL NETWORKS;

EID: 84947743016     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/bfb0046962     Document Type: Conference Paper

References (8)

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3. Ziffer J, La Pidus A, Alazraki N, Folks R, and Garcia E. "Predictive Value of Systolic Wall Thickening for Myocardial Viability Assessed by Tc-99m Sestamibi Using a Count Based Algorithm", 40th Annual Scientific Session, American College of Cardiology, 1991
4. Hertz J, Krogh A, Palmer R. "Introduction to the Theory of Neural Computing", Addison-Wesley, Redwood City, CA 1991
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7. Ezquerra N, Mullick R, et al. "PERFEX: An Expert System for Interpreting 3D Myocardial Perfusion", Expert Systems With Applications, Vol. 6, pp. 459-468, 1993
8. Garcia E, Herbst M, Cooke D, et al. "Knowledge-Based Visualization of Myocardial Perfusion Tomographic Images", In Conference on Visualization in Biomedical Computing, 1990:157-161