… a new architecture called capsule network for image classification application, … classification
model using the capsule networks and to obtain better performance, the histology images …

… a capsule network for image classification, which uses capsules to predict multiple hierarchical
classes. The network … ML-CapsNet, employs a shared primary capsule, making use of a …

… capsule-based model for hyperspectral image classification. The developed capsule
network combines the dense connection structure to realize feature reuse, extracts the image …

… capsule network (… capsule networks in medical image analysis. In this paper, we propose
an attentive octave convolutional capsule network (AOC-Caps) for medical image classification. …

… Recently, the capsule network and its enhanced version named convolutional capsule
network (Conv-CapsNet) were applied to hyperspectral image (HSI) classification and delivered …

… This is also in line with the fact that the corresponding vector module length of the capsule
network mentioned at the beginning of this paper represents the probability of the existence of …

… In this paper, we propose an improved capsule network structure, called the hierarchical
capsule network (HCapsNet) for PolSAR image classification, as shown in Figure 1. HCapsNet …

… cancer cells using pathological images with the help of capsule network. Capsule network’s
capability to … Image processing is done along with fuzzification and further, it is handled with …

… capsule networks is still nascent, and there are two major challenges for malware classification
… To address these issues, we propose a capsule network called FACILE that uses fewer …

… and single group network. The performance of the technique did a better job in classifying
medical images than the existing algorithms. An image classification technique for detecting …