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Showing 1 to 4 of 4 for “"support vector machine model"”.

  1. Two stages hybrid model of fuzzy linear regression with support vector machines for colorectal cancer

    … become popular among researchers and standard model in analyzing data in vagueness phenomena. However, the factor and symptoms to predict tumor size of colorectal cancer still ambiguous and not clear. The problem in using a linear regression will arise when uncertain data and not precise data …

    uthm Repository record for Two stages hybrid model of fuzzy linear regression with support vector machines for colorectal cancer (opens in a new tab)

  2. Feature detection in ultrasound images for computer aided diagnosis of Hodgkin's Lymphoma

    … characterise and classify Hodgkin's lymphoma. A support vector machine model was built, with two experiments performed to evaluate the model. The model achieved a maximum training accuracy of 83%, similar in performance to support vector machine classification models used in medical applications. …

    cape-town Repository record for Feature detection in ultrasound images for computer aided diagnosis of Hodgkin's Lymphoma (opens in a new tab)

  3. Combined bottom-hole pressure calculation procedure using multiphase correlations and artificial neural network models, A

    … such as multiphase correlations and mechanistic modeling. With the applied design, the use of ANN techniques can be more fully investigated to aid in multiphase flow related issues. In this study, different artificial neural network models have been trained to solve two of the major problems of …

    colo-mines Repository record for Combined bottom-hole pressure calculation procedure using multiphase correlations and artificial neural network models, A (opens in a new tab)

  4. A quantitative characterization of tuberculin skin test indurations using hyperspectral imaging to enable automated latent tuberculosis screening

    … The objective was to develop and validate an HSI-model that can generate precise diameter estimations of TST indurations that are comparable to traditional Mantoux readings. Principal component analysis was utilized to transform the hyperspectral images (or hypercubes) into principal components …

    cape-town Repository record for A quantitative characterization of tuberculin skin test indurations using hyperspectral imaging to enable automated latent tuberculosis screening (opens in a new tab)