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Multi-Prototype Few-Shot Learning in Histopathology
CVF Open Access
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由 J Deuschel 著作2021被引用 36 次 — To overcome this problem, we propose a few-shot learning technique, specifically a k-means extension of Pro- totypical Networks, to train a highly flexible ...
9 頁
Multi-Prototype Few-shot Learning in Histopathology
IEEE Xplore
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由 J Deuschel 著作2021被引用 36 次 — To overcome this problem, we propose a few-shot learning technique, specifically a k-means extension of Prototypical Networks, to train a highly flexible model ...
Multi-Prototype Few-shot Learning in Histopathology
IEEE Computer Society
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IEEE Computer Society
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由 J Deuschel 著作2021被引用 36 次 — We propose a few-shot learning technique, specifically a k-means extension of Prototypical Networks, to train a highly flexible model that adapts to new, ...
Multi-Prototype Few-shot Learning in Histopathology
IEEE Xplore
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IEEE Xplore
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由 J Deuschel 著作2021被引用 36 次 — The best results are obtained by employing multiple prototypes per class, calculated from a distributed support set, and domain-specific data augmentation. This ...
9 頁
Multi-Prototype Few-shot Learning in Histopathology
ResearchGate
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ResearchGate
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... Originated in few-shot learning, multi-prototype learning aims to address the challenging of fitting prototypical network [25] for multi-modal data ...
Few-shot learning based histopathological image ...
ScienceDirect.com
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ScienceDirect.com
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由 R Li 著作2024 — This study introduces a few-shot learning approach that combines transfer learning and contrastive learning to classify colorectal cancer histopathology images
ICCV 2021 Open Access Repository
CVF Open Access
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CVF Open Access
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Multi-Prototype Few-Shot Learning in Histopathology. Jessica Deuschel,. Daniel Firmbach,. Carol I. Geppert,. Markus Eckstein,. Arndt Hartmann,. Volker Bruns,.
Few-Shot Histopathology Image Classification: Evaluating ...
arXiv
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arXiv
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2024年8月25日 — Few-shot learning in multi-modal medical image classification involves training models to accurately classify medical images with limited ...
Few-Shot Learning on Histopathology Image Classification
american-cse.org
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由 AK Titoriya 著作被引用 4 次 — This paper proposes FSL (Few-Shot Learning) to solve generalization and size of dataset. This paper uses Prototypical networks and MAML (Model Agnostic Meta ...
6 頁
[PDF] Few Shot Learning in Histopathological Images: ...
Semantic Scholar
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Semantic Scholar
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This work validate that the use of few shot learning techniques can transfer knowledge from a well defined source domain from Colon tissue into a more ...