PulseAugur
实时 05:51:02
实体 Deep Feature Pyramid Convolutional Networks with In-Place Activated Batch Normalization for Automated Skin Lesion Boundary Segmentation

Deep Feature Pyramid Convolutional Networks with In-Place Activated Batch Normalization for Automated Skin Lesion Boundary Segmentation

PulseAugur coverage of Deep Feature Pyramid Convolutional Networks with In-Place Activated Batch Normalization for Automated Skin Lesion Boundary Segmentation — every cluster mentioning Deep Feature Pyramid Convolutional Networks with In-Place Activated Batch Normalization for Automated Skin Lesion Boundary Segmentation across labs, papers, and developer communities, ranked by signal.

Show in brief
总计 · 30天
1
90 天内 1
发布 · 30天
0
90 天内 0
论文 · 30天
1
90 天内 1
层级分布 · 90 天
主题
情绪 · 30 天

1 天有情绪数据

最近 · 第 1/1 页 · 共 1 条
  1. TOOL · CL_218844 ·

    深度学习模型通过内存高效训练改进皮肤病变分割

    研究人员开发了一种内存高效的深度卷积神经网络框架,用于分割皮肤病变边界,这对诊断恶性黑色素瘤至关重要。所提出的架构改编自 ISIC 2018 挑战赛,采用带有 Wide ResNet38 和 Dual Path Network 主干的 U-Net 风格编码器-解码器,并通过特征金字塔网络解码器进行增强。一项关键创新是原地激活批量归一化技术,它显著降低了内存消耗,使得在标准 GPU 内存限制内能够进行更高容量的集成。该方法在挑战赛评估中…