Therefore, an ASCNet model is proposed in this study for X-ray femoral fracture classification. This model adopts the self-calibration convolution method to obtain more discriminative feature representation. This convolutional way can enable each spatial location to adaptively encode the context ...
Firstly, we introduce self-calibration convolution as the basic convolution module and use it as a supplement to the attention mechanism. Secondly, we use efficient channel attention (ECA) to construct an adaptive dense connection structure to deal with the features at the...
For example, de-convolution can be applied to identify the PV induced reading parameter distribution. Based on the PV-induced reading parameter distribution, adjustments can be made to one or more parameters of the PV process.doi:US8441861 B2Alessio Spessot...
We propose a novel algorithm for online self-calibration between sensors using voxels and three-dimensional (3D) convolution kernels. The proposed approach has the following features: (1) it is intended for calibration between sensors that measure 3D space; (2) the proposed network is capable of...
[14] proposed a deep neural network containing six-layer convolution and six-layer deconvolution to achieve the correction of geometric artifacts in a data-driven manner. The deep-learning-based method provides a new idea for geometric artifact correction. However, the technique requires extensive ...