EPT
发表于 2025-3-30 11:28:21
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清醒
发表于 2025-3-30 15:17:33
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IVORY
发表于 2025-3-30 17:04:17
Early Lung Cancer Detection by Using Artificial Intelligence System,. The performance evaluation was done based on the sensitivity, specificity, and accuracy. Our methods are validating by using a set of experiments conducted with a data set of 100 images. The final results showed that the techniques used outperformed conventional methods. The proposed CAD system ac
Congestion
发表于 2025-3-30 23:59:29
Book 2023ds of decision support system for medical research;.Outlines employment of evolutionary algorithms for biomedical data, big data analysis for medical databases, and reliability, opportunities, and challenges in clinical data.. .
商业上
发表于 2025-3-31 04:39:28
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自恋
发表于 2025-3-31 06:53:02
The Patchwork of Local Governmentss the overall performance of the breast tumour dataset..Conclusion: The results obtained show that the pathologist like annotation could be achieved by developing such hybrid models that integrate the domain knowledge through classical segmentation methods like Active Contours and global knowledge t
Esophagitis
发表于 2025-3-31 10:28:01
The Patchwork of Local Governmentserformance. We have used Hardware Description Language to exploit the advantage of parallel processing and also shown that it provides a high computational performance in comparison to software approach. The hardware implementation has been performed with single precision floating-point numbers for
重叠
发表于 2025-3-31 13:29:49
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cacophony
发表于 2025-3-31 18:55:12
Soil Quality and Methods for its Assessment,xture, and low-level and color features, respectively. Finally, to archive the maximum efficiency of the system, the PNN was developed for classification of skin cancer with the gray level co-occurrence matrix (GLCM)-based texture features, discrete wavelet transform (DWT)-based low level features,
竞选运动
发表于 2025-4-1 00:18:15
Land Use in Advancing Agricultureused for diagnosis and classification of fetal growth. Performances of these methods are compared and evaluated based on desired output and mean square error. Results found from the Bayesian-based neural networks are in closed confirmation with the real time results.