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Titlebook: Computer Vision and Image Processing; 5th International Co Satish Kumar Singh,Partha Roy,P. Nagabhushan Conference proceedings 2021 The Edi

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Working with Forms and Validators content. To alleviate these bottlenecks, we have proposed an efficient CMIFD scheme by (i) integrating spatial and structural information additionally in the SIFT feature descriptor and (ii) utilized an adaptive strategy in selecting optimal number of matched key-points from a pool of candidate key
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Working with Forms and Validators the publicly available ATLAS dataset. The network and the loss function outperformed the existing methods and the state-of-the-art models both in terms of precision (0.6347.0.2876), recall (0.5236.0.2933), DSC (0.5350.0.2763), and faster convergence.
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Installing and Configuring the Software,ding labels is used to train an SVM classifier to give the output. The proposed technique is validated on the benchmark COVID CT dataset comprising of a total of 2482 images with 1252 positive and 1230 negative cases. The experimental results reveal that the proposed feature fusion strategy achieves
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