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Updated: May 22, 2026

Morphology-Based Distinction Between Healthy and Pathological Cells Utilizing Fourier Transforms and Self-Organizing Maps
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ToBaFu:基于拓学的融合模型,用于对二维癌症图像进行分类

Yuqing Xing1, Haodong Chen1, Quan Zheng1

  • 1School of Mathematics and Statistics, Huazhong University of Science and Technology, Wuhan, 430074, China.

Neural networks : the official journal of the International Neural Network Society
|September 29, 2025
PubMed
概括

这项研究引入了一种基于拓学的新型融合模型 (ToBaFu),用于增强癌症图像分析. 通过将拓特征与深度学习架构集成,ToBaFu模型显著提高了诊断准确性和稳定性.

关键词:
2D 癌症图像 2D 癌症图像癌症的分类 癌症的分类持久的同质性 持久的同质性这就是ResNet ResNet.拓特征是一个拓特征.

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