… image classification. To solve this problem, in this paper we present a two-stage endoscopic
image classification … of midlevel CNN features and a capsule network. Specifically, the core …

… are very important for medical image analysis. In this paper, an enhanced capsule network
is proposed for medical image classification. For the proposed capsule network, the feature …

… capsule network (CapsNet) preserves the hierarchy between different parts of the entity in an
image … , the hybrid capsule network (HCapsNet), for HSI classification. HCapsNet employs 2…

… This work focuses on reviewing capsule network literature applied to image classification …
capsule network-based architectures’ intuition, formulation, and working for image classification…

… , in this study, we considered a deeper capsule network based on CapsNet with more layers
to solve the problem of limited labeled samples in the HSI classification. In this section, we …

… capsule network is divided into multiple computational units named capsules. Assume that
the capsule … Yuan, and SY Pu, “Hyperspectral image classification with capsule network using …

… Capsule network To better understand the customisation proposed in this paper, we briefly
describe the Capsule Network. CapsNet architecture is characterised by the capsule structure…

… in the capsule network to overcome these issues. The QV capsule module is proposed
and embedded in a real-valued convolutional backbone to construct the QV capsule network. …

… Capsule Network is a novel and promising neural network in … good performance in image
classification by encoding … , the original Capsule Network is not suitable for the images with …

… X-ray images is difficult because of limited resources and heavy burden on the medical system.
To meet the challenge, we propose a capsule network … from chest Xray images. The MHA-…