Jul 6, 2021 · View a PDF of the paper titled Generalizing Nucleus Recognition Model in Multi-source Images via Pruning, by Jiatong Cai and 6 other authors.
Sep 1, 2021 · Partial model parameters are iteratively pruned according to the domain gap, which is caused by the data converting from a single domain into ...
Semantic Scholar extracted view of "Generalizing Nucleus Recognition Model in Multi-source Images via Pruning" by Jiatong Cai et al.
Sep 21, 2021 · In this paper, we propose a novel method to improve DG by searching the domain-agnostic subnetwork in a domain merging scenario. Partial model ...
Partial model parameters are iteratively pruned according to the domain gap, which is caused by the data converting from a single domain into merged domains ...
Partial model parameters are iteratively pruned according to the domain gap, which is caused by the data converting from a single domain into merged domains ...
Generalizing Nucleus Recognition Model in Multi-source Ki67 Immunohistochemistry Stained Images via Domain-Specific Pruning.
Generalizing Nucleus Recognition Model in Multi-source Images via Pruning · no ... Using multi-modal data, whole slide images (WSIs) and clinical information ...
Generalizing Nucleus Recognition Model in Multi-source Ki67 Immunohistochemistry Stained Images via Domain-Specific Pruning · PathAsst: Redefining Pathology ...
