Comparison of neural network, human, and suboptimal Bayesian performance on a constrained reconstruction task

David G. Brown; Mary S. Pastel; Kyle J. Myers; Robert F. Wagner

doi:10.1117/12.175096

11 May 1994 Comparison of neural network, human, and suboptimal Bayesian performance on a constrained reconstruction task

David G. Brown, Mary S. Pastel, Kyle J. Myers, Robert F. Wagner

Author Affiliations +

Proceedings Volume 2167, Medical Imaging 1994: Image Processing; (1994) https://doi.org/10.1117/12.175096
Event: Medical Imaging 1994, 1994, Newport Beach, CA, United States

Abstract

Neural networks were applied to the task of detecting simulated low contrast lesions in limited-view reconstruction tomography images. Results were compared with those for theoretically derived machine observers and for human observers. Preliminary results indicated improved neural network performance for the small data set on which human observer data had been obtained, but further results for a larger data set give performance generally inferior to the best machine observer.

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David G. Brown, Mary S. Pastel, Kyle J. Myers, and Robert F. Wagner "Comparison of neural network, human, and suboptimal Bayesian performance on a constrained reconstruction task", Proc. SPIE 2167, Medical Imaging 1994: Image Processing, (11 May 1994); https://doi.org/10.1117/12.175096

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