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Deep Neural Networks Learn Meta-Structures from Noisy Labels in Semantic Segmentation.

, , , and . AAAI, page 1908-1916. AAAI Press, (2022)

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Segmentation of Intracellular Structures in Fluorescence Microscopy Images by Fusing Low-Level Features., , , , , and . PRCV (3), volume 13021 of Lecture Notes in Computer Science, page 386-397. Springer, (2021)Enhancing Robustness of Deep Networks Against Noisy Labels Based on A Two-Phase Formulation of Their Learning Behavior., and . ICME, page 1763-1768. IEEE, (2023)Representing Topological Self-Similarity Using Fractal Feature Maps for Accurate Segmentation of Tubular Structures., , , , , and . CoRR, (2024)Advancing biological super-resolution microscopy through deep learning: a brief review., , , and . CoRR, (2021)ADFA: Attention-Augmented Differentiable Top-K Feature Adaptation for Unsupervised Medical Anomaly Detection., , , and . ICIP, page 206-210. IEEE, (2023)Context Embedding Based on Bi-LSTM in Semi-Supervised Biomedical Word Sense Disambiguation., , and . IEEE Access, (2019)3d Particle Picking in Cryo-Electron Tomograms Using Instance Segmentation., , and . ICIP, page 2157-2161. IEEE, (2022)Deep Neural Networks Learn Meta-Structures from Noisy Labels in Semantic Segmentation., , , and . AAAI, page 1908-1916. AAAI Press, (2022)Fluorescence Microscopy Images Segmentation Based on Prototypical Networks with a Few Annotations., , , and . PRCV (2), volume 13535 of Lecture Notes in Computer Science, page 164-177. Springer, (2022)