Titlebook: Marine Protists; Diversity and Dynami Susumu Ohtsuka,Toshinobu Suzaki,Fabrice Not Book 2015 Springer Japan 2015 Aquatic ecosystem.Chemosynt

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Nigel Grimsley,Sheree Yau,Gwenaël Piganeau,Hervé Moreauentation datasets demonstrate state-of-the-art performance. Notably, our method achieves a Dice score of 91.31% with only 20% labeled data, which is remarkably close to the 91.62% score of the fully supervised method that uses 100% labeled data on the left atrium dataset. Our framework has the poten

micronized

muscle-fibers

NOTCH

Yasuhide Nakamura,Noritoshi Suzuki help the meta guided network automatically learn the pixel transition confidence map in an alternative training manner. Experiments have been conducted on three medical image datasets, and the results demonstrate that our method is able to achieve superior segmentation with noisy labels compared to

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Akira Kuwata,David H. Jewson help the meta guided network automatically learn the pixel transition confidence map in an alternative training manner. Experiments have been conducted on three medical image datasets, and the results demonstrate that our method is able to achieve superior segmentation with noisy labels compared to

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Takashi Kamiyamas for a weakly-supervised self-training scheme. The self-training is done across multiple rounds to improve the model’s robustness against noise. Two experiments were conducted with static and variable thresholds during self-training, and we show that sensitivity improves from 72.5% without self-tra

anesthesia

CREST

Maximizer

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