窒息
发表于 2025-3-23 12:39:02
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
发表于 2025-3-23 15:21:28
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muscle-fibers
发表于 2025-3-23 19:55:21
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NOTCH
发表于 2025-3-24 00:16:17
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
独轮车
发表于 2025-3-24 02:59:45
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
该得
发表于 2025-3-24 09:32:52
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
发表于 2025-3-24 11:55:48
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CREST
发表于 2025-3-24 18:42:32
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Maximizer
发表于 2025-3-24 21:17:28
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HATCH
发表于 2025-3-25 02:21:09
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