计算机科学
分割
人工智能
模式识别(心理学)
特征(语言学)
块(置换群论)
卷积神经网络
空间分析
频域
特征向量
领域(数学分析)
计算机视觉
数学
数学分析
哲学
语言学
统计
几何学
作者
Shangwang Liu,Yinghai Lin,Danyang Liu
标识
DOI:10.1088/1361-6560/ad5ef3
摘要
In recent years, convolutional neural networks, which typically focus on extracting spatial domain features, have shown limitations in learning global contextual information. However, frequency domain can offer a global perspective that spatial domain methods often struggle to capture. To address this limitation, we propose FreqSNet, which leverages both frequency and spatial features for medical image segmentation.
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