使人入神 发表于 2025-3-30 10:14:19
Automatic Detection of Critical Epochs in coma-EEG Using Independent Component Analysis and Higher Ogful dominant components from the EEG of patients in coma. A procedure for automatic critical epoch detection might support the doctor in the long time monitoring of the patients, this is why we are headed to find a procedure able to automatically quantify how much an epoch is critical or not. In th昆虫 发表于 2025-3-30 12:34:28
Sparse Bump Sonification: A New Tool for Multichannel EEG Diagnosis of Mental Disorders; Applicationplications in early detection and diagnosis of early stage of Alzheimer’s disease. We propose here a novel approach based on multi channel sonification, with a time-frequency representation and sparsification process using bump modeling. The fundamental question explored in this paper is whether cli抗原 发表于 2025-3-30 19:33:54
Effect of Diffusion Weighting and Number of Sensitizing Directions on Fiber Tracking in DTI and accuracy of fiber tracking results depend on the quality of estimated DT which is determined by parameters of image acquisition protocol. The aim of this paper is to investigate what echo-planar image (EPI) acquisition parameters: the number of sensitizing directions K and diffusion weighting bfidelity 发表于 2025-3-30 23:50:16
http://reply.papertrans.cn/67/6636/663576/663576_54.png凹槽 发表于 2025-3-31 03:52:40
http://reply.papertrans.cn/67/6636/663576/663576_55.png匍匐 发表于 2025-3-31 05:19:04
Characterization of Breast Abnormality Patterns in Digital Mammograms Using Auto-associator Neural Ns type of breast abnormality patterns for benign and malignant class characterization using auto-associator neural network and original features. The characterized patterns are finally classified into benign and malignant classes using a classifier neural network. Grey-level based statistical featurstressors 发表于 2025-3-31 13:16:17
Evolving Hierarchical RBF Neural Networks for Breast Cancer Detectionl RBF network was employed to detect the breast cancel. For evolving a hierarchical RBF network model, Extended Compact Genetic Programming (ECGP), a tree-structure based evolutionary algorithm and the Differential Evolution (DE) are used to find an optimal detection model. The performance of proposVasoconstrictor 发表于 2025-3-31 13:37:02
Ovarian Cancer Prognosis by Hemostasis and Complementary Learningnosis is required to determine the suitable therapeutic decision. Since abnormalities of hemostasis and increased risk of thrombosis are observed in cancer patient, assay involving hemostatic parameters can be potential prognosis tool. Thus a biological brain-inspired . (CLFNN) is proposed, to compl牢骚 发表于 2025-3-31 18:17:24
http://reply.papertrans.cn/67/6636/663576/663576_59.pngSOB 发表于 2025-3-31 23:28:28
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