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Titlebook: Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries; 7th International Wo Alessandro Crimi,Spyridon Bakas Conferen

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https://doi.org/10.1007/978-4-431-55807-1ation (BraTS) Challenge provides a unique opportunity to encourage machine learning solutions to address this challenging task. This year, the 10th edition of BraTS collected a multi-institutional multi-parametric MRI dataset of 2040 cases with typical heterogeneity in large multi-domain imaging dat
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Advances in Japanese Business and Economicsls with different architectures, we proposed a three-stage model with the quality-aware model ensemble. The first stage locates the tumor with coarse segmentation, while the second stage refines the coarse segmentation in the region of interest. The last stage performs the quality-aware model ensemb
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A Theoretical Framework of Mixed Systems abundant and high-quality data source to develop automatic algorithms for the task. This paper describes our contribution to the 2021 competition. We developed our methods based on nn-UNet, the winning entry of last year’s competition. We experimented with several modifications, including using a l
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