pulse-pressure
发表于 2025-3-30 09:13:36
Stuart D. Syml annotation is time-consuming and requires specialized expertise. Semi-supervised segmentation methods that leverage both labeled and unlabeled data have shown promise, with contrastive learning emerging as a particularly effective approach. In this paper, we propose a contrastive learning strategy
难听的声音
发表于 2025-3-30 13:12:07
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细胞膜
发表于 2025-3-30 19:54:50
Katsunori Kimotols could be leveraged by utilizing either transfer learning or semi-supervised learning on a limited number of strong labels from manual annotation. However, over-fitting could potentially arise due to the small data size. This work develops a dual-branch network to improve segmentation on OOD data
财政
发表于 2025-3-31 00:23:29
Noritoshi Suzuki,Fabrice Notre repetitive and cumbersome, only the largest lesion is identified leaving others of potential importance unmentioned. Automated deep learning-based methods for lesion detection have been proposed in literature to help relieve their tasks with the publicly available DeepLesion dataset (32,735 lesio
不足的东西
发表于 2025-3-31 04:01:26
Yasuhide Nakamura,Noritoshi Suzuki availability of well-labeled data. In practice, it is a great challenge to obtain a large high-quality labeled dataset, especially for the medical image segmentation task, which generally needs pixel-wise labels, and the inaccurate label (noisy label) may significantly degrade the segmentation perf
bisphosphonate
发表于 2025-3-31 05:03:55
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阻止
发表于 2025-3-31 13:12:16
Takashi Kamiyamare repetitive and cumbersome, only the largest lesion is identified leaving others of potential importance unmentioned. Automated deep learning-based methods for lesion detection have been proposed in literature to help relieve their tasks with the publicly available DeepLesion dataset (32,735 lesio
LAVE
发表于 2025-3-31 16:32:19
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Accommodation
发表于 2025-3-31 18:43:06
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颂扬本人
发表于 2025-3-31 21:54:58
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