نتایج جستجو برای: smote
تعداد نتایج: 650 فیلتر نتایج به سال:
BACKGROUND Lung cancer is one of the most common forms of cancer resulting in over a million deaths per year worldwide. Typically, the problem can be approached by developing more discriminative diagnosis methods. In this paper, computer-aided diagnosis was used to facilitate the prediction of characteristics of solitary pulmonary nodules in CT of lungs to diagnose early-stage lung cancer. ME...
The distribution of information in the form online news is so massive wider community, that it difficult to distinguish between haox and positive news. So a classification needed regarding public sentiment about implementation elections using mainstream media article data 1064 dataset test data. methods used this study are naive Bayes algorithm, random forest support vector machine algorithm. m...
Conventional classification algorithms have shown great success in balanced hyperspectral data classification. However, the imbalanced class distribution is a fundamental problem of data, and it regarded as one challenges tasks. To solve this problem, non-ANN based deep learning, namely SMOTE-Based Weighted Deep Rotation Forest (SMOTE-WDRoF) proposed paper. First, neighboring pixels instances a...
This paper presents a hybrid ensemble classifier combined synthetic minority oversampling technique (SMOTE), random search (RS) hyper-parameters optimization algorithm and gradient boosting tree (GBT) to achieve efficient accurate rock trace identification. A thirteen-dimensional database consisting of basic, vector, discontinuity features is established from image samples. All data points are ...
OBJECTIVE To determine the value of contourlet textural features obtained from solitary pulmonary nodules in two dimensional CT images used in diagnoses of lung cancer. MATERIALS AND METHODS A total of 6,299 CT images were acquired from 336 patients, with 1,454 benign pulmonary nodule images from 84 patients (50 male, 34 female) and 4,845 malignant from 252 patients (150 male, 102 female). Fu...
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