Depth-Four Threshold Circuits for Computer-Assisted X-ray Diagnosis

Authors:
Andreas Alexander Albrecht;E. Hein;Kathleen Steinhöfel;M. Taupitz;C. K. Wong
Affiliations:
-;-;-;-;-
Venue:
AIME '01 Proceedings of the 8th Conference on AI in Medicine in Europe: Artificial Intelligence Medicine
Year:
2001

Citing 2
Cited 0

On Logarithmic Simulated Annealing

TCS '00 Proceedings of the International Conference IFIP on Theoretical Computer Science, Exploring New Frontiers of Theoretical Informatics
Logarithmic simulated annealing for X-ray diagnosis

Artificial Intelligence in Medicine

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Abstract

The paper continues our research from [1]. We present a stochastic algorithm that computes threshold circuits designed to discriminate between two classes of CT images. The algorithm is evaluated for the case of liver tissue classification. A depth-four threshold circuit is calculated from 400 positive (abnormal findings) and 400 negative (normal liver tissue) examples. The examples are of size n = 14161 = 119脳119 with an 8 bit grey scale. On test sets of 100+100 examples (all different from the learning set) we obtain a correct classification of about 96%. The classification of a single image is performed within a few seconds.