… increasing task complexity, explainability of decision making … neural network technology
must be continuously enhanced … byagreement procedure tries to dynamically route recognized …

… multi-task capsule network to improve the explainability of … deep dual-path dense 3D
convolutional neural network (CNN… -observer agreement nodules, we expect our network to output …

… Our findings suggest that C-CapsNet not only improves the … complete capsule network (CapsNet)
with multiple capsule layers … of information from the contract path and are connected to …

… designs of capsule networks to provide explainable diagnoses… -observer agreement nodules,
we expect our network to output … -average pooling, can model visual attributes better than a …

… in capsule networks to improve the explainability of network … by human-experts’ agreement.
We demonstrate a simple 2D … pre-trained dense dual-path 3D CNN at capturing visually…

… and their routing algorithms with the goal of improving explainability and/or interpretation. In
… Improved explainability of capsule networks: Relevance path by agreement. In: 2018 IEEE …

… to enhance performance verification, improve monitoring, … of capsules and the methods for
capsule network explainability. … γ-capsule network and scaled distance agreement routing, …

… the agreement between the output vj of the j-th capsule and the … namely a simple route in
which each input capsule sends its … This paper investigated and improved the explainability of …

… of extracting features for a better classification. Experimental … is an indication of a strong
agreement 𝑎𝑖𝑗 increasing the … The explainability of capsule networks will be investigated in …

… However, CNNs are not perfect, and their ability to deal with … determines the network scope
of the end-to-end path of the … is room to improve the level for original high-level capsules. In …