标题： EMedNeXt：一种改进的脑肿瘤分割框架，用于撒哈拉以南非洲地区，使用带有深度监督的MedNeXt V2 显示英文标题

标题： EMedNeXt: An Enhanced Brain Tumor Segmentation Framework for Sub-Saharan Africa using MedNeXt V2 with Deep Supervision

摘要： 脑癌影响全球数百万人，在几乎每个临床环境中，医生都依赖磁共振成像（MRI）来诊断和监测胶质瘤。 然而，目前通过手动分割多参数MRI进行肿瘤定量的标准方法耗时，需要专家放射科医生，并且在资源匮乏的医疗系统中往往不可行。 这个问题在低收入地区尤为明显，因为MRI扫描仪的质量较低，放射科专业知识稀缺，导致分割和定量错误。 此外，非洲获得的MRI扫描数量通常较少。 为了解决这些挑战，BraTS-Lighthouse 2025 挑战专注于撒哈拉以南非洲（SSA）的稳健肿瘤分割，其中资源限制和图像质量退化引入了显著的变化。 在本研究中，我们提出了 EMedNeXt——一种基于 MedNeXt V2 的增强脑肿瘤分割框架，具有深度监督和针对 SSA 优化的后处理管道。 EMedNeXt 引入了三个关键贡献：更大的感兴趣区域、基于 nnU-Net v2 的改进架构骨架，以及稳健的模型集成系统。 在隐藏验证集上评估，我们的解决方案在 0.5 mm 和 1.0 mm 的容差下，平均 LesionWise DSC 为 0.897，平均 LesionWise NSD 为 0.541 和 0.84。 显示英文摘要

摘要： Brain cancer affects millions worldwide, and in nearly every clinical setting, doctors rely on magnetic resonance imaging (MRI) to diagnose and monitor gliomas. However, the current standard for tumor quantification through manual segmentation of multi-parametric MRI is time-consuming, requires expert radiologists, and is often infeasible in under-resourced healthcare systems. This problem is especially pronounced in low-income regions, where MRI scanners are of lower quality and radiology expertise is scarce, leading to incorrect segmentation and quantification. In addition, the number of acquired MRI scans in Africa is typically small. To address these challenges, the BraTS-Lighthouse 2025 Challenge focuses on robust tumor segmentation in sub-Saharan Africa (SSA), where resource constraints and image quality degradation introduce significant shifts. In this study, we present EMedNeXt -- an enhanced brain tumor segmentation framework based on MedNeXt V2 with deep supervision and optimized post-processing pipelines tailored for SSA. EMedNeXt introduces three key contributions: a larger region of interest, an improved nnU-Net v2-based architectural skeleton, and a robust model ensembling system. Evaluated on the hidden validation set, our solution achieved an average LesionWise DSC of 0.897 with an average LesionWise NSD of 0.541 and 0.84 at a tolerance of 0.5 mm and 1.0 mm, respectively.