To tackle the above problem, we propose a Global-Local representation learning net for medical image segmentation, namely GL-Segnet. In the Feature encoder, we utilize the Multi-Scale Convolution (MSC ...

We used some dimension reduction methods for preprocessing it, i.e., RGBtoGray, Principal Components Analysis (PCA) and Convolution. From Table 3, the Convolution which converts the original data from ...

Differential gene expression and cellular convolution were used to define key regulated genes and cell types ... which permits others to copy, redistribute, remix, transform and build upon this work ...

This paper is a reprint of the original work by A. P. Calderón published by the Brazilian Mathematical Society (SBM) in ATAS of SBM (Rio de Janeiro), pp. 65-73, 1980. The original paper had no ...

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