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English(EN) crossMoDA Challenge: Evolution of Cross-Modality Domain Adaptation Techniques for Vestibular Schwannoma and Cochlea Segmentation from 2021 to 2023

医学AI挑战赛在耳蜗前庭神经鞘瘤分割方面取得进展

作者 PulseAugur 编辑部 · [1 个来源] ·

crossMoDA挑战赛自2021年起与MICCAI联合举办，专注于医学图像分割的无监督跨模态域适应。最初，该挑战赛侧重于从增强T1 MRI扫描分割前庭神经鞘瘤（VS）和耳蜗，后来发展到包含多机构数据和临床分级系统。2023年的比赛纳入了异构常规数据和肿瘤组件的子分割，表明数据多样性的增加可以提高分割性能。然而，由于肿瘤子注释增加了复杂性，耳蜗分割的性能略有下降。 AI

影响 医学影像跨模态域适应的进步可能带来更具成本效益和自动化的前庭神经鞘瘤等疾病的诊断工具。

排序理由 这是一篇研究论文，详细介绍了专注于医学图像分割技术的挑战赛的演变。[lever_c_demoted from research: ic=1 ai=1.0]

在 arXiv cs.CV 阅读 →

AI 生成摘要 · Google Gemini · 来自 1 个来源。 我们如何撰写摘要 →

医学AI挑战赛在耳蜗前庭神经鞘瘤分割方面取得进展

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这是一篇研究论文，详细介绍了专注于医学图像分割技术的挑战赛的演变。[lever_c_demoted from research: ic=1 ai=1.0]
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报道来源 [1]

  1. arXiv cs.CV TIER_1 English(EN) · Navodini Wijethilake, Reuben Dorent, Marina Ivory, Aaron Kujawa, Stefan Cornelissen, Patrick Langenhuizen, Mohamed Okasha, Anna Oviedova, Hexin Dong, Bogyeong Kang, Guillaume Sall\'e, Luyi Han, Ziyuan Zhao, Han Liu, Yubo Fan, Tao Yang, Shahad Hardan, Hus… ·

    crossMoDA挑战赛：2021年至2023年听神经瘤和耳蜗分割跨模态域适应技术的演变

    arXiv:2506.12006v4 Announce Type: replace-cross Abstract: The cross-Modality Domain Adaptation (crossMoDA) challenge series, initiated in 2021 in conjunction with the International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI), focuses on unsup…

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