CT Image Classification by Threshold Circuits
作者： A. Albrecht , E. Hein , D. Melzer , K. Steinhöfel , M. Taupitz
DOI: 10.1007/978-3-642-56714-8_67
关键词:
摘要: We present an algorithm that computes a depth-three threshold circuit for the classification of liver tissue. The is calculated from sample set S 348 positive (abnormal findings) and negative (normal tissue) examples by local search strategy. based on simulated annealing with logarithmic cooling schedule c(k) = Γ/ In (k + 2). parameter Γ depends neighbourhood relation determined classical Perceptron algorithm. are fragments DICOM CT images size n 14161 119 x 119. On test sets 50 (disjoint learning set) we obtain correct about 97%.
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