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Updated: Jan 8, 2026

SCAnED - An Open-source Skin Segmentation Macro for Semi-automated Cell and Nuclei Detection in Epidermal and Dermal Skin Compartments
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SCAnED - An Open-source Skin Segmentation Macro for Semi-automated Cell and Nuclei Detection in Epidermal and Dermal Skin Compartments

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EASNet:边缘感知细分网络用于皮肤损伤细分,具有边界感知和频率注意力机制

Junwei Yu1, Yuhe Xia2, Jianping Li2

  • 1School of Artificial Intelligence and Big Data, Henan University of Technology, Zhengzhou, 450001, China. yujunwei@126.com.

Interdisciplinary sciences, computational life sciences
|December 12, 2025
PubMed
概括

一个新的深度学习模型EASNet通过分析病变边界和频率特征来改善皮肤癌的检测. 这种先进的细分网络为皮肤学图像分析提供了更精确的临床评估.

关键词:
由边界驱动的交叉注意力交叉注意力.频域转换是一个频域转换.混合损失是一种混合损失.皮肤病变细分 皮肤病变细分

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