ethnology 发表于 2025-3-30 09:06:54

https://doi.org/10.1007/978-3-642-24034-8 into account any prior knowledge about the shape of the biomedical structures being segmented. More recently, some works have presented approaches to incorporate shape information. However, many of them are indeed introducing more parameters to the segmentation network to learn the general features

pulmonary-edema 发表于 2025-3-30 12:34:17

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多嘴多舌 发表于 2025-3-30 16:33:30

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旧病复发 发表于 2025-3-30 22:36:46

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欢腾 发表于 2025-3-31 02:07:39

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sulcus 发表于 2025-3-31 05:10:19

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auxiliary 发表于 2025-3-31 09:33:56

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INTER 发表于 2025-3-31 13:52:37

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扩音器 发表于 2025-3-31 17:34:16

Molecular Methods to Detect , and , in Foods. We introduce a novel particle tracking approach using an LSTM-based neural network. Our approach determines assignment probabilities jointly across multiple detections by exploiting both short and long-term temporal dependencies of individual object dynamics. Manually labeled data is not required.

女上瘾 发表于 2025-4-1 00:40:43

https://doi.org/10.1007/978-90-481-8544-3autism, Alzheimer’s disease, and stroke. While a growing number of studies have demonstrated the promise of machine learning algorithms for rs-fMRI based clinical or behavioral prediction, most prior models have been limited in their capacity to exploit the richness of the data. For example, classif
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查看完整版本: Titlebook: Deep Learning in Medical Image Analysis and Multimodal Learning for Clinical Decision Support; 4th International Wo Danail Stoyanov,Zeike T