Titlebook: Artificial Neural Networks in Pattern Recognition; 11th IAPR TC3 Worksh Ching Yee Suen,Adam Krzyzak,Nicola Nobile Conference proceedings 20

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Gaussian-Mixture Neural Networks to its intrinsic difficulties and to the many shortcomings of statistical parametric and non-parametric techniques. Artificial neural networks (ANN) have long been applied to the estimation of posterior probabilities for pattern classification (a simple supervised learning task), yet only a few att

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知识分子

Automatic Interpretation of ,F-Fluorocholine PET/CT Findings in Patients with Primary Hyperparathyroarathyroid glands. This paper aims to enhance the diagnostic accuracy of PET/CT using .F-fluorocholine (FCH) by employing radiomic image analysis to differentiate hyperfunctioning parathyroid glands (HPTG) from thyroid gland (TG) normal or adenomatous tissue. To this aim, the paper contributes a nov

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Vision Transformer Features-Based Leukemia Classificationre called lymphoblasts. It occurs when the bone marrow contains 20% or more lymphoblasts. Therefore, Leukemia is diagnosed by counting White Blood Cells (WBCs) in the microscopic smears of bone marrow and blood. There are several attempts for effective leukemia classification with the help of comput