Multi-class classification of ovarian tumors

  title={Multi-class classification of ovarian tumors},
  author={Ben Van Calster and Dirk Timmerman and Antonia C. Testa and Lil Valentin and Sabine Van Huffel},
In this work, we developed classifiers to distinguish between four ovarian tumor types using Bayesian least squares support vector machines (LS-SVMs) and kernel logistic regression. Input selection using rank-one updates for LS-SVMs performed better than automatic relevance determination. Evaluation on an independent test set showed good performance of the… CONTINUE READING