Console
发表于 2025-3-27 00:47:50
Cancer Drug Discovery and Developmentdel based on imaging texture features and wavelet texture features extracted from each of the segmented components was implemented. The networks were tested on both the BraTS2019 validation and testing datasets. The segmentation networks achieved average dice-scores of 0.901, 0.844 and 0.801 for WT,
Minikin
发表于 2025-3-27 03:17:03
Brain Tumor Segmentation Using Attention-Based Network in 3D MRI Imagesthermore, in order to reduce false positives, a training strategy combined with a sampling strategy was proposed in our study. The segmentation performance of the proposed network was evaluated on the BraTS 2019 validation dataset and testing dataset. In the validation dataset, the dice similarity c
美学
发表于 2025-3-27 05:31:17
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考博
发表于 2025-3-27 11:47:24
Improving Brain Tumor Segmentation in Multi-sequence MR Images Using Cross-Sequence MR Image Generat%, and 83.44% in the segmentation of enhancing tumor, whole tumor, and tumor score on the testing set, respectively. Our results suggest that using cross-sequence MR image generation is an effective self-supervision method that can improve the accuracy of brain tumor segmentation and the proposed Br
挑剔为人
发表于 2025-3-27 13:49:06
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Culmination
发表于 2025-3-27 21:19:27
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下边深陷
发表于 2025-3-27 23:33:09
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寻找
发表于 2025-3-28 04:21:43
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躺下残杀
发表于 2025-3-28 08:04:24
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cornucopia
发表于 2025-3-28 12:23:01
https://doi.org/10.1007/978-94-009-5205-8n this work, we explore best practices of 3D semantic segmentation, including conventional encoder-decoder architecture, as well combined loss functions, in attempt to further improve the segmentation accuracy. We evaluate the method on BraTS 2019 challenge.