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BAF-UNet:用于皮肤病变细分的边界意识细分模型

Menglei Zhang1, Congwei Zhang1, Zhibin Quan2

  • 1Southeast University, School of Automation, Nanjing, China.

Journal of medical imaging (Bellingham, Wash.)
|January 12, 2026
PubMed
概括

我们开发了BAF-UNet,这是一个新的深度学习模型,用于精确的皮肤病变细分. 这种方法增强了边界检测,提高了从医学图像诊断皮肤癌的准确性.

关键词:
深度学习是一种深度学习.皮肤的细分 皮肤的细分变压器的变压器是一个变压器.

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