Download Citation | On Nov 17, 2023, Zhang Minglan and others published A Multi-scale Deep Image Completion Model Fused Capsule Network | Find, ...

Article "A Multi-scale Deep Image Completion Model Fused Capsule Network" Detailed information of the J-GLOBAL is an information service managed by the ...

This paper aims to propose a Multi-scale Capsule-weighted Fusion Classification Network (MCFCN), a classification model for automatic diagnosis of lung lesions ...

This study proposes an enhanced multi-scale deep Convolutional Capsule Neural Network (CapsNet) optimized with Orchard Optimization Algorithm for breast cancer ...

Addressing the challenges in effectively extracting multi-scale features and preserving pose information during hyperspectral image (HSI) classification, ...

Feb 19, 2024 · We propose a multi-scale convolutional feature fusion network augmented with a Convolutional Block Attention Module (MCF-CBAM) for accurate IoT traffic ...

Jan 22, 2022 · On the one hand, the multiscale capsule module is employed to exploit the spatial relationship of features. Therefore, equivariant prop- erties ...

Nov 9, 2018 · Abstract—Capsule network is a novel architecture to encode the properties and spatial relationships of the feature in the images ...

May 14, 2020 · The proposed 3D—MCN architecture predicted lung nodule malignancy with a high accuracy of 93.12%, sensitivity of 94.94%, area under the curve ( ...

A novel capsule network based on wide convolution and multi-scale convolution (WMSCCN) is proposed for fault diagnosis.